A Comparison of GAs Penalizing Infeasible Solutions and Repairing Infeasible Solutions on the 0-1 Knapsack Problem
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Yuren Zhou | Xin Yao | Jun He | X. Yao | Yuren Zhou | Jun He
[1] Thomas Jansen,et al. The Analysis of Evolutionary Algorithms—A Proof That Crossover Really Can Help , 2002, Algorithmica.
[2] John E. Beasley,et al. A Genetic Algorithm for the Multidimensional Knapsack Problem , 1998, J. Heuristics.
[3] Xin Yao,et al. Stochastic ranking for constrained evolutionary optimization , 2000, IEEE Trans. Evol. Comput..
[4] Rajeev Kumar,et al. Analysis of a Multiobjective Evolutionary Algorithm on the 0-1 knapsack problem , 2006, Theor. Comput. Sci..
[5] Hans-Paul Schwefel,et al. How to analyse evolutionary algorithms , 2002, Theor. Comput. Sci..
[6] Tetsuyuki Takahama,et al. Constrained optimization by applying the /spl alpha/ constrained method to the nonlinear simplex method with mutations , 2005, IEEE Transactions on Evolutionary Computation.
[7] Ingo Wegener,et al. Methods for the Analysis of Evolutionary Algorithms on Pseudo-Boolean Functions , 2003 .
[8] Xin Yao,et al. Towards an analytic framework for analysing the computation time of evolutionary algorithms , 2003, Artif. Intell..
[9] Xin Yao,et al. Drift analysis and average time complexity of evolutionary algorithms , 2001, Artif. Intell..
[10] Marco Laumanns,et al. Running time analysis of evolutionary algorithms on a simplified multiobjective knapsack problem , 2004, Natural Computing.
[11] Yuren Zhou,et al. A Runtime Analysis of Evolutionary Algorithms for Constrained Optimization Problems , 2007, IEEE Transactions on Evolutionary Computation.
[12] Xin Yao,et al. A study of drift analysis for estimating computation time of evolutionary algorithms , 2004, Natural Computing.
[13] Gary G. Yen,et al. A generic framework for constrained optimization using genetic algorithms , 2005, IEEE Transactions on Evolutionary Computation.
[14] Thomas Jansen,et al. On the analysis of the (1+1) evolutionary algorithm , 2002, Theor. Comput. Sci..
[15] Zbigniew Michalewicz,et al. GENOCOP: a genetic algorithm for numerical optimization problems with linear constraints , 1996, CACM.
[16] Ingo Wegener,et al. Real royal road functions--where crossover provably is essential , 2001, Discret. Appl. Math..
[17] Carlos Artemio Coello-Coello,et al. Theoretical and numerical constraint-handling techniques used with evolutionary algorithms: a survey of the state of the art , 2002 .
[18] Zbigniew Michalewicz,et al. Evolutionary Algorithms, Homomorphous Mappings, and Constrained Parameter Optimization , 1999, Evolutionary Computation.
[19] Xinghuo Yu,et al. Conditions for the convergence of evolutionary algorithms , 2001, J. Syst. Archit..
[20] Min-Jea Tahk,et al. Coevolutionary augmented Lagrangian methods for constrained optimization , 2000, IEEE Trans. Evol. Comput..
[21] K. Deb. An Efficient Constraint Handling Method for Genetic Algorithms , 2000 .
[22] Jano I. van Hemert,et al. Comparing evolutionary algorithms on binary constraint satisfaction problems , 2003, IEEE Trans. Evol. Comput..
[23] Carlos A. Coello Coello,et al. A simple multimembered evolution strategy to solve constrained optimization problems , 2005, IEEE Transactions on Evolutionary Computation.
[24] Zbigniew Michalewicz,et al. Genetic algorithms + data structures = evolution programs (3rd ed.) , 1996 .
[25] Xin Yao,et al. Erratum to: Drift analysis and average time complexity of evolutionary algorithms [Artificial Intelligence 127 (2001) 57-85] , 2002, Artif. Intell..
[26] Hyun Myung,et al. Multiple Lagrange Multiplier Method for Constrained Evolutionary Optimization , 2000, J. Adv. Comput. Intell. Intell. Informatics.
[27] Xin Yao,et al. Search biases in constrained evolutionary optimization , 2005, IEEE Transactions on Systems, Man, and Cybernetics, Part C (Applications and Reviews).
[28] Zbigniew Michalewicz,et al. Genetic Algorithms + Data Structures = Evolution Programs , 1996, Springer Berlin Heidelberg.
[29] Franz Rothlauf,et al. On the importance of the second largest eigenvalue on the convergence rate of genetic algorithms , 2001 .