Solving dynamic constrained optimisation problems using repair methods
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[1] Hartmut Schmeck,et al. Designing evolutionary algorithms for dynamic optimization problems , 2003 .
[2] Jürgen Branke,et al. A Multi-population Approach to Dynamic Optimization Problems , 2000 .
[3] Lawrence Davis,et al. Shall We Repair? Genetic AlgorithmsCombinatorial Optimizationand Feasibility Constraints , 1993, ICGA.
[4] Haluk Topcuoglu,et al. A comparative study of evolutionary optimization techniques in dynamic environments , 2006, GECCO '06.
[5] John J. Grefenstette,et al. Genetic Algorithms for Changing Environments , 1992, PPSN.
[6] Jürgen Branke,et al. Evolutionary optimization in uncertain environments-a survey , 2005, IEEE Transactions on Evolutionary Computation.
[7] Xin Yao,et al. Benchmarking and solving dynamic constrained problems , 2009, 2009 IEEE Congress on Evolutionary Computation.
[8] Ángel Fernando Kuri Morales,et al. A UNIVERSAL ECLECTIC GENETIC ALGORITHM FOR CONSTRAINED OPTIMIZATION , 2022 .
[9] Tapabrata Ray,et al. Performance of infeasibility driven evolutionary algorithm (IDEA) on constrained dynamic single objective optimization problems , 2009, 2009 IEEE Congress on Evolutionary Computation.
[10] Jürgen Branke,et al. Memory enhanced evolutionary algorithms for changing optimization problems , 1999, Proceedings of the 1999 Congress on Evolutionary Computation-CEC99 (Cat. No. 99TH8406).
[11] Shengxiang Yang,et al. Genetic Algorithms with Memory- and Elitism-Based Immigrants in Dynamic Environments , 2008, Evolutionary Computation.
[12] Shengxiang Yang,et al. Learning behavior in abstract memory schemes for dynamic optimization problems , 2009, Soft Comput..
[13] Hendrik Richter. Memory Design for Constrained Dynamic Optimization Problems , 2010, EvoApplications.
[14] Helen G. Cobb,et al. An Investigation into the Use of Hypermutation as an Adaptive Operator in Genetic Algorithms Having Continuous, Time-Dependent Nonstationary Environments , 1990 .
[15] Hendrik Richter,et al. Detecting change in dynamic fitness landscapes , 2009, 2009 IEEE Congress on Evolutionary Computation.
[16] John J. Grefenstette,et al. Genetic Algorithms for Tracking Changing Environments , 1993, ICGA.
[17] Xin Yao,et al. Stochastic ranking for constrained evolutionary optimization , 2000, IEEE Trans. Evol. Comput..
[18] Xin Yao,et al. Continuous Dynamic Constrained Optimization—The Challenges , 2012, IEEE Transactions on Evolutionary Computation.