Topics are
- Coevolution
- Evolutionary Optimization
- Evolutionary Multiobjective Optimization
- Convergence and Markov Chain Analysis
- Fuzzy Optimization Using Genetic Algorithm
- Genetic Algorithms in Economics
- Genetic Algorithms for Traveling Salesman Problems
- Genetic Algorithms for Neural Networks
- Miscellaneous
\begin{equation}{\label{a}}\tag{A}\mbox{}\end{equation}
Coevolution.
\item Bull, L.:
On Coevolutionary Genetic Algorithms,
{\em Soft Computing} 5 (2001) 201-207.
\item Ficici, S.G., Melink, O. and Pollack, J.B.:
A Game-Theoretic and Dynamical-System Analysis of Selection Methods
in Coevolution,
{\em IEEE Trans. on Evolutionary Computation} 9 (2005) 580-602.
\item Hillis, W.D.:
Co-evolving Parasites Improve Simulated Evolution as an optimization
Procedure,
{\em Physica D} 42 (1990) 228-234.
\item Mar\'{i}n, J. and Sol\'{e}, R.V.:
Macroevolutionary Algorithms: A New Optimization Method on Fitness
Landscapes,
{\em IEEE Trans. on Evolutionary Computation} 3 (1999) 272-286.
\item Pagie, L. and Hogeweg, P.:
Evolutionary Consequences of Coevolving Targets,
{\em Evolutionary Computation} 5 (1998) 401-418.
\item Paredis, J.:
Coevolutionary Computation,
{\em Artificial Life} 2 (1995) 355-375.
\item Pena-Reyes, C.A. and Sipper, M.:
Fuzzy CoCo: A Cooperative-Coevolutionary to Fuzzy Modeling,
{\em IEEE Trans. on Fuzzy Systems} 9 (2001) 727-737.
\item Potter, M.A. and De Jong, K.A.:
Cooperative Coevolution: An Architecture for Evolving Coadapted Subcomponents,
{\em Evolutionary Computation} 8 (2000) 1-29.
\item Rosin, C.D. and Belew, R.K.:
New Methods for Competitive Coevolution,
{\em Evolutionary Computation} 5 (1997) 1-29.
\item Sakawa, M. and Yauchi, K.:
Coevolutionary Genetic Algorithms for Nonconvex Nonlinear Programming Problems: Revised GENOCOP III,
{\em Cybernetics and Systems} 29 (1998) 885-899.
\item Son, Y.S. and Baldick, R.:
Hybrid Coevolutionary Programming for Nash Equilibrium Search in Games with Local Optima,
{\em IEEE Transactions on Evolutionary Computation} 8 (2004) 305-315.
\item Wolpert, D.H. and Macready, W.G.:
Coevolutionary Free Lunches
{\em IEEE Trans. on Evolutionary Computation} 9 (2005) 721-735.
\begin{equation}{\label{b}}\tag{B}\mbox{}\end{equation}
Evolutionary Optimization.
\begin{enumerate\item Abbattista, F., Abbattista, N. and Caponetti, L.:
An Evolutionary and Cooperative Agents Model for Optimization,
{\em IEEE International Conference on Evolutionary Computation}, 1995.
\item Affenzeller, M. and Wagner, S.:
SASEGASA: A New Generic Parallel Evolutionary Algorithm for Achieving
Highest Quality Results,
{\em Journal of Heuristics} 10 (2004) 243-267.
\item Ali, M.M. and T\”{o}rn, A.:
Population Set-Based Global Optimization Algorithms: Some Modifications and
Numerical Studies,
{\em Computers and Operations Research} 31 (2004) 1703-1725.
\item Azadivar, F. and Tompkins, G.:
Simulation Optimization with Qualitative Variables and Structural Model
Changes: A Genetic Algorithm Approach,
{\em European J. of Operational Research} 113 (1999) 169-182.
\item Bambha, N.K., Bhattacharyya, S.S., Teich, J. and Zitzler, E.:
Systematic Integration of Parameterized Local Search into Evolutionary
Algorithms,
{\em IEEE Transactions on Evolutionary Computation} 8 (2004) 137-155.
\item Barnier, N. and Brisset, P.:
Optimization by Hybridization of a Genetic Algorithm with Constraint
Satisfaction Techniques,
{\em IEEE International Conference on Evolutionary Computation}, 1998,
645-649.
\item Bhattacharyya, S. and Troutt, M.D.:
Genetic Search over Probability Spaces,
{\em European Journal of Operational Research} 144 (2003) 333-347.
\item Carlsson, S.E. and Shonkwiler, R.:
Annealing a Genetic Algorithm over Constraints,
{\em IEEE International Conference on Systems, Man, and Cybernetics}, 1998,
3931-3936.
\item Chelouah, R. and Siarry, P.:
A Continuous Genetic Algorithm Designed for the Global Optimization
of Multimodal Functions.
{\em Journal of Heuristics} 6 (2000) 191-213.
\item Chen, Y.-P., Horng, J.-T. and Kao, C.-Y.:
Stochastic Sketching: A New Method for Global Optimization,
{\em Soft Computing} 3 (1999) 101-110.
\item Coello, C.A.C.:
Theoretical and Numerical Constraint-Handling Techniques Used with
Evolutionary Algorithms: A Survey of the State of the Art,
{\em Computers Methods in Applied Mechanics and Engineering} 191 (2002) 1245-1287.
\item Coit, D.W., Smith, A.E. and Tate, D.M.:
Adaptive Penalty Methods for Genetic Optimization of Constrained
Combinatorial Problems,
{\em INFORMS Journal on Computing} 8 (1996) 173-182.
\item Cortez, P., Rocha, M. and Neves, J.:
Evolving Time Series Forecasting ARMA Models,
{\em Journal of Heuristics} 10 (2004) 415-429.
\item Davoine, T., Hammer, P.L. and Vizvari, B.:
A Heuristic for Boolean Optimization Problems,
{\em Journal of Heuristic} 9 (2003) 229-247.
\item Deb, K.:
A Population-Based Algorithm-Generator for Real-Parameter Optimization,
{\em Soft Computing} 9 (2005) 236-253.
\item Dinger, R.H.:
Engineering Design Optimization with Genetic Algorithms,
{\em Northcon/Conference Proceedings}, 1998. 114-119.
\item Eiben, A.E., Hinterding, R. and Michalewicz, Z.:
Parameter Control in Evolutionary Algorithms,
{\em IEEE Trans. on Evolutionary Computation} 3 (1999) 124-141.
\item Hagiwara, M.:
Pseudo-Hill Climbing Genetic Algorithm (PHGA) for Function Optimization,
{\em International Joint Conference on Neural Networks}, 1993, 713-716.
\item Hart, W.E.:
Rethinking the Design of Real-Coded Evolutionary Algorithms: Making Discrete
Choices in COntinuous Search Domains,
{\em Soft Computing} 9 (2005) 225-235.
\item Herrera, F., Lozano, M. and Sanchez, A.M.:
Hybrid Crossover Operators for Real-Coded Genetic Algorithms,
{\em Soft Computing} 9 (2005) 280-298.
\item Ho, S.-Y., Shu, L.-S. and Chen, J.-H.:
Intelligent Evolutionary Algorithms for Large Parameter Optimization Problems,
{\em IEEE Transactions on Evolutionary Computation} 8 (2004) 522-541.
\item Hong, T.-P., Wang, H.-S. and Chen, W.C.:
Simultaneously Applying Multiple Mutation Operators in Genetic Algorithms,
{\en Journal of Heuristics} 6 (2000) 439-455.
\item Hussain, M.F. and Al-Sultan, K.S.:
A Hybrid Genetic Algorithm for Nonconvex Function Minimization,
{\em Journal of Global Optimization} 11 (1997) 313-324.
\item J\”{a}gersk\”{u}pper, J.:
Algorithmic Analysis of a Basic Evolutionary Algorithm for Continuous Optimization,
{\em Theoretical Computer Science} 379 (2007) 329-347.
\item Jin, Y.:
A Comprehensive Survey of Futness Approximation in Evolutionary Computation,
{\em Soft Computing} 9 (2005) 3-12.
\item Jin, Y. and Branke, J.:
Evolutionary Optimization in Uncertain Environments — A Survey,
{\em IEEE Transactions on Evolutionary Computation} 9 (2005) 303-317.
\item Jin, Y., Olhofer, M. and Sendhoff, B.:
A Framework for Evolutionary Optimization with Approximate Fitness Functions,
{\em IEEE Transactions on Evolutionary Computation} 6 (2002) 481-494.
\item Kaelo, P. and Ali, M.M.:
A Numerical Study of Some Modified Differential Evolution Algorithms,
{\em European Journal of Operational Research} 169 (2006) 1176-1184.
\item Leung, K.-S., Wong, T. and King, I.:
Probabilistic Cooperative-Competitive Hierarchical Modeling as a Genetic
Operator in Global Optimization,
{\em IEEE International Conference on Systems, Man, and Cynebrnetics}, 1998,
3959-3964.
\item Leung, Y.-W. and Wang, Y.:
An Orthogonal Genetic Algorithm with Quantization for Global Numerical
Optimization,
{\em IEEE Trans. on Evolutionary Computation} 5 (2001) 41-53.
\item Lodi, A., Allemand, K. and Liebling, T.M.:
An Evolutionary Heuristic for Quadratic $0$-$1$ Programming,
{\em European Journal of Operational Research} 119 (1999) 662-670.
\item Maaranen, H., Miettinen, K. and Penttinen, A.:
On Initial Populations of a Genetic Algorithm for Continuous
Optimization Problems,
{\em Journal of Global Optimization} 37 (2007) 405-436.
\item McCall, J.:
Genetic Algorithms for Modelling and Optimization,
{\em Journal of Computational and Applied Mathematics} 184 (2005) 205-222.
\item Medaglia, A.L. and Fang, S.-C.:
A Genetic-Based Framework for Solving (multi-Criteria) Weighted Matching
Problems,
{\em European Journal of Operational Research} 149 (2003) 77-101.
\item Mezura-Montes, E. and Coello, C.A.C.:
A Simple Multimembered Evolution Strategy to Solve Constrained
Optimization Problems,
{\em IEEE Transactions on Evolutionary Computation} 9 (2005) 1-17.
\item Michalewicz, Z., Janikow, C.Z. and Krawczyk, J.B.:
A Modified Genetic Algorithm for Optimal Control Problems,
{\em Computers and Mathmatics with Applications} 23 (1992) 83-94.
\item \”{O}stermark, R.:
A Multipurpose Parallel Genetic Hybrid Algorithm for Nonlinear Nonconvex
Programming Problems,
{\em European Journal of Operational Research} 152 (2004) 195-214.
\item Pr\”{u}gel-Bennett, A.:
Symmetry Breaking in Population-Based Optimization,
{\em IEEE Transactions on Evolutionary Computation} 8 (2004) 63-79.
\item Regis, R.G. and Shoemaker, C.A.:
Local Function Approximation in Evolutionary Algorithms for the Optimization
of Costly Functions,
{\em IEEE Transactions on Evolutionary Computation} 8 (2004) 490-505.
\item Renders, J.-M. and Flasse, S.P.:
Hybrid Methods Using Genetic Algorithms for Global Optimization,
{\em IEEE Trans. on Systems, Man, and Cybernetics} 26 (1996) 243-258.
\item Sakawa, M. and Kato, K.:
Genetic Algorithms with Double Strings for 0-1 Programming Problems,
{\em European Journal of Operational Research} 144 (2003) 581-597.
\item Someya, H. and Yamamura, M.:
A Robust Real-Coded Evolutionary Algorithm with Toroidal Search Space
Conversion,
{\em Soft Computing} 9 (2005) 254-269.
\item Takahama, T. and Sakai, S.:
Constrained Optimization by Applying $\alpha$-Constrained Method to the
Nonlinear Simplex Method with Mutations,
{\em IEEE Trans. on Evolutionary Computation} 9 (2005) 437- 451.
\item Tian, P., Ma, J. and Zhang, D.-M.:
Nonlinear Integer Programming by Darwin and Boltzmann Mixed Strategy,
{\em European Journal of Operational Research} 105 (1998) 224-235.
\item Tsai, J.-T., Liu, T.-K. and Chou, J.-H.:
Hybrid Taguchi-Genetic Algorithm for Global Numerical Optimization,
{\em IEEE Transactions on Evolutionary Computation} 8 (2004) 365-377.
\item Tsutsui, S. and Ghosh, A.:
Genetic Algorithms with a Robust Solution Searching Scheme,
{\em IEEE Trans. on Evolutionary Computation} 1 (1997) 210-208.
\item Venkatraman, S. and Yen, G.G.:
A Generic Framework for Constrained Optimization Using Genetic Algorithms,
{\em IEEE Transactions on Evolutionary Computation} 9 (2005) 424-435.
\item Wang, H. and Zeng, J.:
The Hybrid Genetic Algorithm for Solving Nonlinear Programming,
{\em IEEE International Conference on Intelligent Processing Systems}, 1997,
589-591.
\item Winter, G., Galvan, B., Alonso, S., Gonzalez, B., Jimenez, J.I. and Greiner, D.:
A Flexible Evolutionary Agent: Cooperation and Competition Among Real-Coded
Evolutionary Operators,
{\em Soft Computing} 9 (2005) 299-323.
\item Yang, R. and Douglas, I.:
Simple Genetic Algorithm with Local Tuning: Efficient Global Optimizing
Technique,
{\em Journal of Optimization Theory and Applications} 98 (1998) 449-465.
\item Yao, X., Liu, Y. and Lin, G.:
Evolutionary Programming Made Faster,
{\em IEEE Trans. on Evolutionary Computation} 3 (1999) 82-102.
\item Zahara, E. and Fan, S.-K.:
Real-Coded Genetic Algorithm for Stochastic Optiomization: A Tool for
Recipe Qualification of Semiconductor Manufacturing under Noisy Environments,
{\em International Journal of Advanced Manufacturing and Technology} 25
(2005) 361-369.
\begin{equation}{\label{c}}\tag{C}\mbox{}\end{equation}
Evolutionary Multiobjective Optimization.
\item Bosman, P.A.N. and Thierens, D.:
The Balance between Proximity and Diversity in Multiobjective Evolutionary
Algorithms,
{\em IEEE Trans. on Evolutionary Computation} 7 (2003) 174-188.
\item Burhe, E.K. and Silva, J.D.L.:
The Influence of the Fitness Evaluation Method on the Performance of
Multiobjective Serach Algorithms,
{\em European Journal of Operational Research} 169 (2006) 875-897.
\item Chafekar, D., Shi, L., Rasheed, K. and Xuan, J.:
Multiobjective GA Optimization Using Reduced Methods,
{\em IEEE Trans. on Systems, Man, and Cybernetics} 35 (2005) 261-265.
\item Chen, M.-R. and Lu, Y.-Z.:
A Novel Elitist Multiobjective OPtimization Algorithm:
Multiobjective Extremal Optimization,
{\em European Journal of Operational Research} 188 (2008) 637-651.
\item Cvetkoci\'{c}, D. and Parmee, I.C.:
Preferences and Their Aoolication in Evolutionary Multiobjective Optimization,
{\em IEEE Trans. on Evolutionary Computation} 6 (2002) 42-57.
\item Deb, K.:
Multiobjective Genetic Algorithms: Problem Difficulties and Construction
of Test Problems,
{\em Evolutional Computation} 7 (1999) 205-230.
\item Deb, K., Pratap, A., Agarwal, S. and Meyarivan, T.:
A Fast and Elitist Multiobjective Genetic Algorithm: NSGS-II,
{\em IEEE Trans. on Evolutionary Computation} 6 (2002) 182-197.
\item Elaoud, S., Loukil, T. and Teghem, J.:
The Pareto Fitness Genetic Algorithm: Test Function Study,
{\em European Journal of Operational Research} 177 (2007) 1703-1719.
\item Farina, M. and Amato, P.:
Linked Interpolation-Optimization Strategies for Multicriteria Optimization
Problems,
{\em Soft Computing} 9 (2005) 54-65.
\item Farina, M., Deb, K. and Amato, P.:
Dynamic Multiobjective Optimization Problems: Test Cases, Approximations, and
Applications,
{\em IEEE Transactions on Evolutionary Computation} 8 (2004) 425-442.
\item Fonseca, C.M. and Fleming, P.:
Multiobjective Optimal Controller Design with Genetic Algorithms,
{\em International Conference on Control}, 1994, 745-749.
\item Fonseca, C.M. and Fleming, P.J.:
An Overview of Evolutionary Algorithms in Multiobjective Optimization,
{\em Evolutionary Computation} 3 (1) (1995) 1-16.
\item Fonseca, C.M. and Fleming, P.J.:
Multiobjective Genetic Algorithms Made Easy: Selection, Sharing and Mating
Restriction,
{\em International Conference on Genetic Algorithms in Engineering Systems:
Innovations and Applications}, 1995, 45-52.
\item Fonseca, C.M. and Fleming, P.J.:
Multiobjective Optimization and Multiple Constraint Handling with Evolutionary
Algorithms — Part I: A Unified Formulation,
{\em IEEE Trans. on Systems, Man, and Cybernetics — Part A: Systems and
Humans} 28 (1998) 26-37.
\item Fonseca, C.M. and Fleming, P.J.:
Multiobjective Optimization and Multiple Constraint Handling with Evolutionary
Algorithms — Part II: Application Example,
{\em IEEE Trans. on Systems, Man, and Cybernetics — Part A: Systems and
Humans} 28 (1998) 38-47.
\item Hanne, T.:
On the Convergence of Multiobjective Evolutionary Algorithms,
{\em European J. Operational Research} 117 (1999) 553-564.
\item Hanne, T.:
Global Multiobjective Optimization Using Evolutionary Algorithms,
{\em Jounal of Heuristics} 6 (2000) 347-360.
\item Hanne, T.: (Evolutionary Multiobjective Optimization)
A Multiobjective Evolutionary Algorithm for Approximating the Efficient Set,
{\em European Journal of Operational Research} 176 (2007) 1723-1734.
\item Ishibuchi, H. and Murata, T.:
Multi-Objective Genetic Local Search Algorithm,
{\em IEEE International Conference on Evolutionary Computation}, 1996,
119-124.
\item Jaszkiewicz, A.:
Genetic Local Search for Multi-Objective Combinatorial Optimization,
{\em European Journal of Operational Research} 137 (2002) 50-71.
\item Jaszkiewicz, A.:
Do Multi-Objective Metaheuristics Deliver on Their Promises? A
Computational Experiment on the Set-Covering Problem,
{\em IEEE Trans. on Evolutionary Computation} 7 (2003) 133-143.
\item Knowles, J.D. and Corne, D.W.:
Approximating the Nondominated Front Using the Pareto Archived Evolution
Strategy,
{\em Evolutionary Computation} 8 (2000) 149-172.
\item Knowles, J.D. and Corne, D.:
Properties of an Adaptive Archiving Algorithm for Storing Nondominated
Vectors,
{\em IEEE Trans. on Evolutionary Computation} 7 (2003) 100-116.
\item K\”{o}ksoy, O. and Yalcinoz, T.:
Robust Design Using Pareto Type ptimization: A Genetic Algorithm with
Arithmetic Crossover,
{\em Computers and Industrial Engineering} 55 (2008) 208-218.
\item Konak, A., Coit, D.W. and Smith, A.E.:
Multiobjective Optimization Using Genetic Algorithm: A Tutorial,
{\em Reliability Engineering and System Safety} 91 (2006) 992-1007.
\item Laumanns, M., Thiele, L. and Zitzler, E.:
Running Time Analysis of Multiobjective Evolutionary Algorithms on
Pseudo-Boolean Functions,
{\em IEEE Transactions on Evolutionary Computation} 8 (2004) 170-182.
\item Laumanns, M., Thiele, L. and Zitzler, E.:
An Efficient, Adaptive Parameter Variation Scheme for Metaheristics Based
on the Epsilon-Constraint Method,
{\em European Journal of Operational Research} 169 (2006) 932-942.
\item Lee, M.A. and Esbensen, H.:
Evolutionary Algorithms Based Multiobjective Optimization Techniques for
Intelligent System Design,
{\em IEEE Biennial Conference of the North American, Fuzzy Information
Processing Society}, 1996, 360-364..
\item Lis, J. and Eiben, A.E.:
A Multi-Sexual Genetic Algorithm for Multiobjective Optimization,
{\em IEEE International Conference on Evolutionary Computation}, 1997,
59-64.
\item Osyczka, A. and Kundu, S.:
A Modified Distance Method for Multicriteria Optimization, Using Genetic
Algorithms,
{\em Computers and Industrial Engineering} 30 (1996) 871-882.
\item Sarker, R., Liang, K.-H. and Newton, C.:
A New Multiobjective Evolutionary Algorithm,
{\em European J. Operational Research} 140 (2002) 12-23.
\item Setzkorn, C. and Paton, R.C.:
On the Use of Multi-Objective Evolutionary Algorithms for the Induction
of Fuzzy Classification Rule Systems,
{\em BioSystems} 81 (2005) 101-112.
\item Shukla, P.K. and Deb, K.:
On Finding Multiple Pareto-Optimal Solutions Using Classical and
Evolutionary Generating Methods,
{\em European Journal of Operational Research} 181 (2007) 1630-1652.
\item Srinivas, N. and Deb, K.:
Multiobjectie Optimization Using Nondominated Sorting in Genetic Algorithms,
{\em Evolutionary Computation} 2 (3) (1995) 221-248.
\item Tamaki, H., Kita, H. and Kobayashi, S.:
Multi-Objective Optimization by Genetic Algorithms: A Review,
{\em IEEE International Conference on Evolutionary Computation}, 1996,
517-522.
\item Tan, K.C., Goh, C.K. and Lee, T.H.:
Evolving Better Population Distribution and Exploration in Evolutionary
Multiobjective Optimization,
{\em European Journal of Operational Research} 171 (2006) 463-495.
\item Van Veldhuizen, D.A. and Lamont, G.B.:
Multiobjective Evolutionary Algorithms Analyzing the State-of-the-Art,
{\em Evolutionary Computation} 8 (2000) 125-147.
\item Van Veldhuizen, D.A., Zydallis, J.B. and Lamont, G.B.:
Considerations in Engineering Parallel Multiobjective Evolutionary Algorithms,
{\em IEEE Trans. on Evolutionary Computation} 7 (2003) 144-173.
\item Zeng, S.Y., Kang, L.S. and Ding, L.X.:
An Orthogonal Multi-objective Evolutionary Algorithm for Multi-objective
Optimization Problems with Constraints,
{\em Evolutionary Computation} 12 (2004) 77-98.
\iten Zhao, H.:
A Multi-objective Genetic Programming Approach to Developing
Pareto Optimal Decision Trees,
{\em Decision Support Systems} 43 (2007) 809-826.
\item Zitzler, E., Deb, K. and Thiele, L.:
Comparison of Multiobejctive Evolutionary Algorithms: Empirical Results,
{\em Evolutionary Computation} 8 (2000) 173-195.
\item Zitzler, E. and Thiele, L.:
Multiobjective Evolutionary Algorithms: A Comparative Case Study and the
Strength Pareto Approach,
{\em IEEE Trans. on Evolutionary Computation} 3 (1999) 257-271.
\item Zitzler, E., Thiele, L., Laumanns, M., Fonseca, C.M. and
da Fonseca, V.G.:
Performance Assessment of Multiobjective Optimizers: An Analysis and
Review,
{\em IEEE Trans. on Evolutionary Computation} 7 (2003) 117-132.
\begin{equation}{\label{d}}\tag{D}\mbox{}\end{equation}
Convergence and Markov Chain Analysis.
\item Bramke, J. and Schmidt, C.:
Faster Convergence by Means of Fitness Estimation,
{\em Soft Computing} 9 (2005) 13-20.
\item Cant\'{u}-Paz, E.:
Markov Chain Models of Parallel Genetic Algorithms,
{\em IEEE Trans. on Evolutionary Computation} 4 (2000) 216-226.
\item Francois, O.:
Convergence in Simulated Ecolution Algorithms,
{\em Complex Systems} 10 (1996) 311-319.
\item Francois, O.:
An Evolutionary Strategy for Global Minimization and Its Markov Chain
Analysis,
{\em IEEE Trans. on Evolutionary Computation} 2 (1998) 77-90.
\item Garnier, J. and Kallel, L.:
Statistical Distribution of the Convergence Time of Evoluionary Algorithms
for Long-Path Problems,
{\em IEEE Trans. on Evolutionary Computation} 4 (2000) 16-30.
\item Kwon, Y.-D., Kwon, S.-B., Jin, S.-B. and Kim, J.-Y.:
Convergence Enhanced Genetic Algorithm with Successive Zooming
Method for Solving Continuous Optimization Problems,
{\em Computers and Structures} 81 (2003) 1715-1725.
\item Leung, K.-S., Duan, Q.-H., Xu, Z.-B. and Wong, C.K.:
A New Model of Simulated Evolutionary Computation — Convergence
Analysis and Specifications,
{\em IEEE Trans. on Evolutionary Computation} 5 (2001) 3-16.
\item Rudolph, G.:
Convergence of Non-Elitist Strategies,
{\em IEEE} (1994).
\item Rudolph, G.:
Convergence Analysis of Canonical Genetic Algorithms,
{\em IEEE Trans. on Neural networks} 5 (1994) 96-101.
\item Rudolph, G.:
Local Convergence Rates of Simple Evolutionary Algorithms with Cauchy
Mutations,
{\em IEEE Trans. on Evolutionary Computation} 1 (1997) 249-258.
\item Rudolph, G.:
On a Multi-Obhective Evolutionary Algorithm and Its Convergence to the Pareto
Set,
{\em IEEE} (1998).
\item Schmitt, L.M.:
Theory of Genetic Algorithms,
{\em Theoretical Computer Science} 259 (2001) 1-61.
\item Suzuki, J.:
A Markov Chain Analysis on Simple Genetic Algorithms,
{\em IEEE Trans. on Systems, Man, and Cybernetics} 25 (1995) 655-659.
\begin{equation}{\label{e}}\tag{E}\mbox{}\end{equation}
Fuzzy Optimization Using Genetic Algorithm.
\item Chang, N.-B. and Wei, Y.L.:
Siting Recycling Drop-Off Stations in Urban Area by Genetic Algorithm-Based
Fuzzy Multiobjective Nonlinear Integer Programming Modeling,
{\em Fuzzy Sets and Systems} 114 (2000) 133-149.
\item He, S., Song, R. and Chaudhry, S.S.:
Fuzzy Dispatching Model and Genetic Algorithms for Railyards Operations,
{\em European Journal of Operational Research} 124 (2000) 307-331.
\item Herrera, F. and Lozano, M.:
Fuzzy Adaptive Genetic Algorithms: Design, Taxonomy, and Future Directions,
{\em Soft Computing} 7 (2003) 545-562.
\item Jim\'{e}nez, F., Cadenas, J.M., Verdegay, J.L. and S\'{a}nchez, G.:
Solving Fuzzy Optimization Problems by Evolutionary Algorithms,
{\em Information Sciences} 152 (2003) 303-311.
\item Kato, K. and Sakawa, M.:
Large Scale Fuzzy Multiobjective 0-1 Programs Through Genetic Algorithms with
Decomposition Procedures,
{\em The Second International Conference on Knowledge-Based Intelligent
Electronic Systems}, 1998, 278-284.
\item Kato, K. and Sakawa, M.:
An Interactive Fuzzy Satisficing Method for Large Scale Multiobjective 0-1
Programming Problems with Fuzzy Parameters through Genetic Algorithms,
{\em European J. of Operational Research} 107 (1998) 590-598.
\item Kowalczyk, R.:
On Solving Fuzzy Constraint Satisfaction Problems with Genetic Algorithms,
{\em IEEE International Conference on Evolutionary Computation}, 1998,
758-762.
\item Pedrycz, W.:
Fuzzy Evolutionary Computing,
{\em Soft Computing} 2 (1998) 61-72.
\item Sakawa, M., Kato, K. and Shibano, T.:
An Interactive Fuzzy Satisficing Method for Multiobjective Multidimensional
0-1 Knapsack Problems through Genetic Algorithms,
{\em Proceedings of IEEE International Conference on Evolutionary Computation},
1996, 243-246.
\item Sakawa, M., Kato, K., Sunada, H. and Shibano, T.:
Fuzzy Programming for Multiobjective 0-1 Programming Problems through
Revised Genetic Algorithms,
{\em European J. Operational Research} 97 (1997) 149-158.
\item Sakawa, M., Nishizaki, I. and Hitaka, M.:
Interactive Fuzzy Programming for Multi-Level 0-1 Programming Problems
Through Genetic Algorithms,
{\em European J. of Operational Research} 114 (1999) 580-588.
\item Sakawa, M. and Shibano, T.:
An Interactive Fuzzy Satisifcing Method for Multiobjective 0-1 Programming
Problems with Fuzzy Numbers through Genetic Algorithms with Double Strings,
{\em European Journal of Operational Research} 107 (1998) 564-574.
\item Sakawa, M. and Yauchi, K.:
Coevolutionary Genetic Algorithms for Nonconvex Nonlinear Programming
Problems: Revised GENOCOP III,
{\em Cybernetics and Systems} 29 (1998) 885-899.
\item Sakawa, M. and Yauchi, K.:
An Interactive Fuzzy Satisficing Method for Multiobjective Nonconvex
Programming Problems through Floating Point Genetic Algorithms,
{\em European J. of Operational Research} 117 (1999) 113-124.
\item Sakawa, M. and Yauchi, K.:
Interactive Decision Making for Multiobjective Nonconvex Programming
Problems with Fuzzy Numbers Through Coevolutionary Genetic Algorithms,
{\em Fuzzy Sets and Systems} 114 (2000) 151-165.
\item Shiromaru, I., Inuiguchi, M. and Sakawa, M.:
A Fuzzy Satisficing Method for Electric Power Plant Coal Purchase Using Genetic Algorithms,
{\em European Journal of Operational Research} 126 (2000) 218-230.
\item Xiong, Y. and Rao, S.S.:
Fuzzy Nonlinear Programming for Mixed-Discrete Design Optimization through Hybrid Genetic Algorithm
{\em Fuzzy Sets and Systems} 146 (2004) 167-186.
\begin{equation}{\label{f}}\tag{F}\mbox{}\end{equation}
Genetic Algorithms in Economics.
\item Birchenhall, C., Kastrinos, N. and Metcalfe, S.:
Genetic Algorithms in Evolutionary Modelling,
{\em Journal of Evolutionary Economics} 7 (1997) 375-393.
\item Daeid, H.:
Learning of Cycles and Sunspot Equilibria by Genetic Algorithms,
{\em Journal of Evolutionary Economics} 6 (1996) 361-373.
\item Dawid, H. and Kopel, M.:
On Economic Applications of the Genetic Algorithms: A Model of the Coweb
Type,
{\em Journal of Evolutionary Economics} 8 (1998) 297-315.
\item Franke, R,:
Coevolution and Stable Adjustments in the Coweb Model,
{\em Journal of Evolutionary Economics} 8 (1998) 383-406.
\item Marks, R.E.:
Breeding Hybrid Strategies: Optimal Behaviour for Oligopolists,
{\em Journal of Evolutionary Economics} 2 (1992) 17-38.
\item Price, T.C.:
Using Co-evolutionary Programming to Simulate Strategic Behaviour in Markets,
{\em Journal of Evolutionary Economics} 7 (1997) 219-254.
\item Riechmann, T.:
Learning and Behavioral Stability,
{\em Journal of Evolutionary Economics} 9 (1999) 225-242.
\item Riechmann, T.:
Genetic Algorithm Learning and Evolutionary Games,
{\em Journal of Economic Dynamics and Control} 25 (2001) 1019-1037.
\begin{equation}{\label{g}}\tag{G}\mbox{}\end{equation}
Genetic Algorithms for Traveling Salesman Problems.
\item Buriol, L., Franca, P.M. and Moscato, P.:
A New Memetic Algorithm for the Asymmetric Traveling Salseman Problem,
{\em Journal of Heuristics} 10 (2004) 483-506.
\item Louis, S.J. and Li, G.:
Case Injected Genetic Algorithms for Traveling Salesman Problems,
{\em Information Sciences} 122 (2000) 201-225.
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A Synergetic Approach to Genetic Algorithms for Solving Traveling Salesman
Problem,
{\em Information Sciences} 117 (1999) 267-283.
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Performance Characteristics of Alternative Genetic Algorithmic Approaches
to the Traveling Salesman Problem Using Path Representation: An
Empirical Study,
{\em European Journal of Operational Research} 108 (1998) 551-570.
\begin{equation}{\label{h}}\tag{H}\mbox{}\end{equation}
Genetic Algorithms for Neural Networks.
\item Alpaydin, G., D\”{u}nhan, G. and Balkir, S.:
Evolution-Based Design of Neural Fuzzy Networks Using Self-Adapting
Genetic Parameters,
{\em IEEE Trans. on Fuzzy Systems} 10 (2002) 211-221.
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An Evolutionary Algorithm that Constructs Recurrent Neural Networks,
{\em IEEE Trans. on Neural Networks} 5 (1994) 54-65.
\item Bengio, S., Bengio, Y. and Cloutier, J.:
Use of Genetic Programming for the Search of a New Learning Rule for Neural
Networks,
{\em IEEE International Conference on Evolutionary Computation}, 1994,
324-327.
\item Blanco, A., Delgado, M. and Pegalajar, M.C.:
A Genetic Algorithm to Obtain the Optimal Recurrent Neural Network,
{\em International Journal of Approximate Reasoning} 23 (2000) 67-83.
\item Bull, L.:
On Model-Based Evolutionary Computation,
{\em Soft Computing} 3 (1999) 76-82.
\item Chiang, T.-L. and Su, C.-T.:
Optimizing of TQFP Molding Process Using Neuro-Fuzzy-GA Approach,
{\em European Journal of Operational Research} 147 (2003) 156-164.
\item Cho, S.-B.:
Pattern Recognition with Neural Networks Combined by Genetic Algorithm,
{\em Fuzzy Sets and Systems} 103 (1999) 339-347.
\item Choi, D.-H. and Oh, S.-Y.:
A New Mutation Rule for Evolutionary Programming Motivated from
Backpropogation Learning,
{\em IEEE Trans. on Evolutionary Computation} 4 (2000) 188-190.
\item Chung, I.-F., Lin, C.-J. and Lin, C.-T.:
A GA-Based Fuzzy Adaptive Learning Control Network,
{\em Fuzzy Sets and Systems} 112 (2000) 65-84.
\item De Jong, K.:
Learning with Genetic Algorithms: An Overview,
{\em Machine Learning} 3 (1988) 121-138.
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Using Genetic Agorithms for Concept Learning,
{\em Machine Learning} 13 (1993) 161-188.
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Approximating and Simulating the Stochastic Growth Model: Parameterized
Expectations, Neural Networks, and the Genetic Algorithm,
{\em Journal of Economic Dynamics and Control} 25 (2001) 1273-1303.
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Genetic Algorithms and Back-Propogation: A Comparative Study,
{\em IEEE Canadian Conference on Electrical and Computer Engineering}, 1998,
93-96.
\item Gen, M., Ida, K., Kobuchi, R. and Lee, C.Y.:
Hybridized Neural network and Genetic Algorithms for Solving Nonlinear
Integer Programming,
{\em The Second International Conference on Knowledge-Based Intelligent
Electronic Systems}, 1998, 272-277.
\item Han, S.-S. and May, G.S.:
Optimization of Neural Network Structure and Learning Parameters Using
Genetic Algorithms,
{\em IEEE International Conference on Tools with Artificial Intelligence},
1996, 200-206.
\item H\”{a}nggi, M. and Moschytz, G.S.:
Genetic Optimization of Cellular Neural Networks,
{\em IEEE International Conference on Evolutionary Computation}, 1998,
381-386.
\item Hariri, A. and Malik, O.P.:
Fuzzy Logic Power System Stabilizer Based on Genetically Optimized
Adaptive Network,
{\em Fuzzy Sets and Systems} 102 (1999) 31-40.
\item Harrald, P.G. and Kamstra, M.:
Evolving Artificial Neural Networks to Combine Financial Forecasts,
{\em IEEE Trans. on Evolutionary Computation} 1 (1997) 40-52.
\item Heng, E.T.H., Srinivasan, D. and Liew, A.C.:
Short Term Load Forecasting Using Genetic Algorithm and Neural Networks,
{\em IEEE International Conference on Energy Management and Power Delivery},
1998, 576-581.
\item H\”{s}sken, M., Jin, Y. and Sendhoff, B.:
Structure Optimization of Neural Networks for Evolutionary Design Optimization,
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Evolutionary Projection Neural Networks,
{\em IEEE International Conference on Evolutionary Computation}, 1997,
667-671.
\item Ichikawa, Y. and Ishii, Y.:
Retaining Diversity of Genetic Algorithms for Multivariable Optimization
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{\em IEEE International Conference on Neural Networks}, 1993, 1110-1114.
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Structure Optimization fo Fuzzy Neural Network by Genetic Algorithm,
{\em Fuzzy Sets and Systems} 71 (1995) 257-264.
\item Jagielska, I., Matthews, C. and Whitfort, T.:
An Investigation into the Application of Neural Networks, Fuzzy Logic,
Genetic Algorithms, and Rough Sets to Automated Knowledge Acquisition for
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{\em Neurocomputing} 24 (1999) 37-54.
\item Janikow, C.Z.:
A Knowledge-Intensive Genetic Algorithm for Supervised Learning,
{\em Machine Learning} 13 (1993) 189-228.
\item Juang, C.-F.:
A TSK-Type Recurrent Fuzzy Network for Dynamic Systems Processing by
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Adding Learning to Cellular Genetic Algorithms for Training Recurrent
Neural Networks,
{\em IEEE Trans. on Neural Networks} 10 (1999) 239-252.
\item Ku, K.W.C., Mak, M.W. and Siu, W.-C.:
A Study of the Lamarckian Evolution of Recurrent Neural Networks,
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\item Kuncheva, L.I.:
Initializing of an RBF Network by a Genetic Algorithm,
{\em Neurocomputing} 14 (1997) 273-288.
\item Larranaga, P., Huijpers, C.M.H., Poza, M. and Murga, R.H.:
Decomposing Bayesian Networks: Triangulation of the Moral Graph with
Genetic Algorithms,
{\em Statistics and Computing} 7 (1997) 19-34.
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A New Hybrid Neural-Genetic Methodology for Improving Learning,
{\em IEEE International Conference on Tools with Artificial Intelligence},
1997, 32-36.
\item Linkens, D.A. and Nyongesa, H.O.:
Learning Systems in Intelligent Control: An Apprasial of Fuzzy, Neural and
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\item Liu, Y., Yao, X. and Higuchi, T.:
Evolutionary Ensembles with Negative Correlation Learning,
{\em IEEE Trans. on Evolutionary Computation} 4 (2000) 380-387.
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Genetic Evolution of the Topology and Weight Distribution of Neural Networks,
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\item Mei, S., Huang, A. and Fang, K.:
A Neural Network Controller Based on Genetic Algorithms,
{\em IEEE International Conference on Intelligent Processing Systems}, 1997,
1624-1628.
\item McDonnell, J.R. and Waagen, D.:
Evolving Recurrent Perceptrons for Time-Series Modeling,
{\em IEEE Trans. on Neural Networks} 5 (1994) 24-38.
\item Murata, J., Tanaka, K. and Hirasawa, K.:
Determination and Adaptive Alteration of Artificial Neural Network Structures
by a Genetic Algorithm with a Controllled Genotype-Phenotype Mapping,
{\em IEEE International Conference on Systems, Man, and Cybernetics}, 1996,
1690-1695.
\item Neves, J. and Cortez, P.:
An Artificial Neural Network – Genetic Based Approach for Time Series
Forcasting,
{\em IVth Brazilian Symposium on Neural Networks}, 1997, 9-13.
\item \”{O}stermark, R.:
A Hybrid Genetic Fuzzy Neural Network Algorithm Designed for Classification
Problems Involving Several Groups,
{\em Fuzzy Sets and Systems} 114 (2000) 311-324.
\item Sexton, R.S. and Gupta, J.N.D.:
Comparative Evaluation of Genetic Algorithm and Backpropagation for
Training Neural Networks,
{\em Information Sciences} 129 (2000) 45-59.
\item Shimojima, K., Fukuda, T. and Hasegawa, Y.:
RBF-Fuzzy System with GA Based Unsupervised/Supervised Learning Method,
{\em IEEE International Conference on Fuzzy Systems}, 1995, 253-258.
\item Sierra, A., Mac\'{i}as, J.A. and Corbacho, F.:
Evolution of Functional Link Networks,
{\em IEEE Trans. on Evolutionary Computation} 5 (2001) 54-65.
\item Su, M.-C. and Chang, H.-T.:
Application of Neural Networks Incorporated with Real-Valued Genetic
Algorithms in Knowledge Acquisition,
{\em Fuzzy Sets and Systems} 112 (2000) 85-97.
\item Tang, K.S., Chan, C.Y. and Kwong, S.:
Genetic Structure for NN Topology and Weights Optimization,
{\em Inernational Conference on Genetic Algorithms in Engineering Systems:
Innovations and Applications}, 1995, 250-255..
\item Thierens, D.:
Non-Redundant Genetic Coding of Neural Networks,
{\em IEEE International Conference on Evolutionary Computation}, 1996,
571-575.
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Integrating Evolutionary Computation with Neural Networks,
{\em IEEE Proceedings of the Electronics Technology Directions to Year 2000},
1995, 137-143.
\item Whitehead, B.A. and Choate, T.D.:
Evolving Space-Filling Curves to Distribute Radial Basis Functions Over
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{\em IEEE Trans. on Neural Networks} 5 (1994) 15-23.
\item Whitley, D., Dominic, S., Das, R. and Anderson, C.W.:
Genetic Reinforcement Learning for Neurocontrol Problems,
{\em Machine Learning} 13 (1993) 259-284.
\item Wong, M.L. and Leung, K.S.:
An Efficient Data Mining Method for Learning Bayesian Networks Using an Evolutionary-Based Hybrid Approach,
{\em IEEE Transactions on Evolutionary Computation} 8 (2004) 378-404.
\item Xue, H., Chong, N.T. and Jamashidi, M.:
Fuzzy Associative Memory Optimization Using Genetic Algorithms,
{\em IEEE International Conference on Fuzzy Systems}, 1994, 509-513.
\item Yao, X.:
A Review of Evolutionary Artificial Neural Networks,
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Evolving Artificial Neural Networks,
{\em Proceedings of the IEEE} 87 \#9 (1999) 1423-1447.
\begin{equation}{\label{i}}\tag{I}\mbox{}\end{equation}
Miscellaneous.
\item Alba, E. and Dorronsoro, B.:
The Exploration/Exploitation Tradeoff in Dynamic Cellular Genetic Algorithms,
{\em IEEE Transactions on Evolutionary Computation} 9 (2005) 126-142.
\item Cioppa, A.D., De Stefano, C. and Marcelli, A.:
On the Role of Population Size and Niche Radius in Fitness Sharing,
{\em IEEE Transactions on Evolutionary Computation} 8 (2004) 580-592.
\item Czarn, A., MacNIsh, C., Vijayan, K., Turlach, B. and Gupta, R.:
Statistical Exploratory Analysis of Genetic Algorithms,
{\em IEEE Transactions on Evolutionary Computation} 8 (2004) 405-421.
\item de Castro, L.N. and Timmis, J.I.:
Artificial Immune Systems as a Novel Soft Computing Paradigm,
{\em Soft Computing} 7 (2003) 526-544.
\item Han, K.-H. and Kim, J.-H.:
Quantum-Inspired Evolutionary Algorithms with a New Termination Criterion,
$H_{\epsilon}$ Gate and Two-Phase Scheme,
{\em IEEE Transactions on Evolutionary Computation} 8 (2004) 156-169.
\item Herv\'{a}s-Mart\'{i}nez, C. and Oritz-Boyer, D.:
Analyzing the Statistical Features of CIXL2 Crossover Offspring,
{\em Soft Computing} 9 (2005) 270-279.
\item Lee, C.-Y. and Yao, X.:
Evolutionary Programming Using Mutations Based on the L\'{e}vy Probability
Distribution,
{\em IEEE Transactions on Evolutionary Computation} 8 (2004) 1-13.
\item Pr\”{u}gel-Bennett, A. and Shapiro, J.L.:
The Dynamics of a Genetic Algorithm for Simple Random Ising Systems,
{\em Physica D} 104 (1997) 75-114.
\item Tu, Z. and Lu, Y.:
A Robust Stochastic Genetic Algorithm for Global Numerical Optimization,
{\em IEEE Transactions on Evolutionary Computation} 8 (2004) 456-470.
\item Wang, X. and Wang, H.:
Evolutionary Optimization with Markov Random Field Prior,
{\em IEEE Transactions on Evolutionary Computation} 8 (2004) 567-579.
\item Zhang, Q.:
On Stability of Fixed Points of Limit Models of Univariate Marginal
Distribution Algorithm and Factorized Distribution Algorithm,
{\em IEEE Transactions on Evolutionary Computation} 8 (2004) 80-93.
\item Zhang, Q. and M\”{u}hlenbein, H.:
On the Convergence of a Class of Estimation of Distribution Algorthms,
{\em IEEE Transactions on Evolutionary Computation} 8 (2004) 127-136.
\item M\”{u}hlenbein, H. and Schlierkamp-Voosen, D.:
Predictive Models for the Breeder Genetic Algorithm I: Continuous Parameter Optimization,
{\em Evolutionary Computation} 1 (1993) 25-49.
\item Salomon, R.:
Some Comments on Evolutionary Algorithm Theory,
{\em Evolutionary Computation} 4 (1997) 405-415.
\item Schlierkamp-Voosen, D. and M\”{u}hlenbein, H.:
Adaptation of Population Sizes by Competing Subpopulations,
{\em IEEE International Conference on Evolutionary Computation}, 1996, 330-335.
\item Voigt, H.-M. and M\”{u}hlenbein, H.:
Gene Pool Recombination and Utilization of Covariances for the Breeder Genetic Algorithm,
{\em Proceedings of the Second IEEE International Conference on Evolutionary Computation}, 1995, 172-177.
