Empirical analysis of evolutionary algorithms with immigrants schemes for dynamic optimization
暂无分享,去创建一个
Xin Yao | Xin Yu | Tianshi Chen | Ke Tang | X. Yao | K. Tang | Tianshi Chen | Xin Yu
[1] Gary J. Balas,et al. Robustness and performance tradeoffs in control design for flexible structures , 1990, 29th IEEE Conference on Decision and Control.
[2] David E. Goldberg,et al. Nonstationary Function Optimization Using Genetic Algorithms with Dominance and Diploidy , 1987, ICGA.
[3] Melanie Mitchell,et al. The royal road for genetic algorithms: Fitness landscapes and GA performance , 1991 .
[4] Dipankar Dasgupta,et al. Nonstationary Function Optimization using the Structured Genetic Algorithm , 1992, PPSN.
[5] Xin Yao,et al. Materialized view selection as constrained evolutionary optimization , 2003, IEEE Trans. Syst. Man Cybern. Part C.
[6] John J. Grefenstette,et al. Evolvability in dynamic fitness landscapes: a genetic algorithm approach , 1999, Proceedings of the 1999 Congress on Evolutionary Computation-CEC99 (Cat. No. 99TH8406).
[7] John J. Grefenstette,et al. Genetic Algorithms for Tracking Changing Environments , 1993, ICGA.
[8] Erica Jen,et al. Stable or robust? What's the difference? , 2003, Complex..
[9] Von der Fakult. Evolutionary Algorithms and Dynamic Optimization Problems , 2003 .
[10] T. Krink,et al. Dynamic memory model for non-stationary optimization , 2002, Proceedings of the 2002 Congress on Evolutionary Computation. CEC'02 (Cat. No.02TH8600).
[11] L. Darrell Whitley,et al. Fundamental Principles of Deception in Genetic Search , 1990, FOGA.
[12] Kevin Kok Wai Wong,et al. Classification of adaptive memetic algorithms: a comparative study , 2006, IEEE Transactions on Systems, Man, and Cybernetics, Part B (Cybernetics).
[13] Shengxiang Yang,et al. Genetic Algorithms with Elitism-Based Immigrants for Changing Optimization Problems , 2007, EvoWorkshops.
[14] Thomas Jansen,et al. Design and Management of Complex Technical Processes and Systems by means of Computational Intelligence Methods Evolutionary Algorithms-How to Cope With Plateaus of Constant Fitness and When to Reject Strings of the Same Fitness , 2001 .
[15] Karsten Weicker,et al. Evolutionary algorithms and dynamic optimization problems , 2003 .
[16] Jürgen Branke,et al. Evolutionary optimization in uncertain environments-a survey , 2005, IEEE Transactions on Evolutionary Computation.
[17] Anabela Simões,et al. Improving memory’s usage in evolutionary algorithms for changing environments , 2007, 2007 IEEE Congress on Evolutionary Computation.
[18] Septimiu E. Salcudean,et al. Analysis and evaluation of stability and performance robustness for teleoperation control architectures , 2000, Proceedings 2000 ICRA. Millennium Conference. IEEE International Conference on Robotics and Automation. Symposia Proceedings (Cat. No.00CH37065).
[19] John J. Grefenstette,et al. Genetic Algorithms for Changing Environments , 1992, PPSN.
[20] Terence C. Fogarty,et al. A Genetic Algorithm with Variable Range of Local Search for Tracking Changing Environments , 1996, PPSN.
[21] 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).
[22] Xin Yao,et al. An immigrants scheme based on environmental information for genetic algorithms in changing environments , 2008, 2008 IEEE Congress on Evolutionary Computation (IEEE World Congress on Computational Intelligence).
[23] W. Cedeno,et al. On the use of niching for dynamic landscapes , 1997, Proceedings of 1997 IEEE International Conference on Evolutionary Computation (ICEC '97).
[24] G. Stein,et al. Performance and robustness analysis for structured uncertainty , 1982, 1982 21st IEEE Conference on Decision and Control.
[25] Jürgen Branke,et al. Proceedings of the Workshop on Evolutionary Algorithms for Dynamic Optimization Problems (EvoDOP-2003) held in conjunction with the Genetic and Evolutionary Computation Conference (GECCO-2003), 12 July 2003, Chicago, USA [online] , 2003 .
[26] Peter A. N. Bosman,et al. Learning, anticipation and time-deception in evolutionary online dynamic optimization , 2005, GECCO '05.
[27] 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 .
[28] Anabela Simões,et al. An Immune System-Based Genetic Algorithm to Deal with Dynamic Environments: Diversity and Memory , 2003, ICANNGA.
[29] Xin Yao,et al. Experimental study on population-based incremental learning algorithms for dynamic optimization problems , 2005, Soft Comput..
[30] Rasmus K. Ursem,et al. Multinational GAs: Multimodal Optimization Techniques in Dynamic Environments , 2000, GECCO.
[31] Marc Schoenauer,et al. Rigorous Hitting Times for Binary Mutations , 1999, Evolutionary Computation.
[32] Jürgen Branke,et al. Waiting Strategies for Dynamic Vehicle Routing , 2005, Transp. Sci..
[33] Shengxiang Yang,et al. Genetic algorithms with self-organized criticality for dynamic optimization problems , 2005, 2005 IEEE Congress on Evolutionary Computation.
[34] Ronald W. Morrison,et al. Designing Evolutionary Algorithms for Dynamic Environments , 2004, Natural Computing Series.
[35] William Rand,et al. Measurements for understanding the behavior of the genetic algorithm in dynamic environments: a case study using the Shaky Ladder Hyperplane-Defined Functions , 2005, GECCO '05.
[36] Hajime Kita,et al. Adaptation to a Changing Environment by Means of the Thermodynamical Genetic Algorithm , 1999 .
[37] Hajime Kita,et al. Adaptation to a Changing Environment by Means of the Feedback Thermodynamical Genetic Algorithm , 1996, PPSN.
[38] Jürgen Branke,et al. A Multi-population Approach to Dynamic Optimization Problems , 2000 .
[39] Shengxiang Yang,et al. Non-stationary problem optimization using the primal-dual genetic algorithm , 2003, The 2003 Congress on Evolutionary Computation, 2003. CEC '03..
[40] Juan Julián Merelo Guervós,et al. Parallel Problem Solving from Nature — PPSN VII , 2002, Lecture Notes in Computer Science.
[41] Mark Wineberg,et al. Enhancing the GA's Ability to Cope with Dynamic Environments , 2000, GECCO.
[42] Narayan Raman,et al. The job shop tardiness problem: A decomposition approach , 1993 .
[43] Xin Yao,et al. A Memetic Algorithm for VLSI Floorplanning , 2007, IEEE Transactions on Systems, Man, and Cybernetics, Part B (Cybernetics).
[44] S. Tsutsui,et al. Function optimization in nonstationary environment using steady state genetic algorithms with aging of individuals , 1998, 1998 IEEE International Conference on Evolutionary Computation Proceedings. IEEE World Congress on Computational Intelligence (Cat. No.98TH8360).
[45] Karsten Weicker,et al. Performance Measures for Dynamic Environments , 2002, PPSN.
[46] John J. Grefenstette,et al. Case-Based Initialization of Genetic Algorithms , 1993, ICGA.
[47] S. Adivikolanu,et al. Extensions and performance/robustness tradeoffs of the EWMA run-to-run controller by using the internal model control structure , 2000 .
[48] Jürgen Branke,et al. Evolutionary Optimization in Dynamic Environments , 2001, Genetic Algorithms and Evolutionary Computation.
[49] Zhang Ren,et al. A new controller architecture for high performance, robust, and fault-tolerant control , 2001, IEEE Trans. Autom. Control..
[50] Xin Yao,et al. Population-Based Incremental Learning With Associative Memory for Dynamic Environments , 2008, IEEE Transactions on Evolutionary Computation.
[51] R.W. Morrison,et al. A test problem generator for non-stationary environments , 1999, Proceedings of the 1999 Congress on Evolutionary Computation-CEC99 (Cat. No. 99TH8406).
[52] Shengxiang Yang,et al. Memory-based immigrants for genetic algorithms in dynamic environments , 2005, GECCO '05.
[53] Johnathan Haas. A brief consideration of cultural evolution: stages, agents, and tinkering , 1998 .
[54] David W. Pearson,et al. An Immune System-Based Genetic Algorithm to Deal with Dynamic Environments : Diversity and Memory , 2004 .
[55] Shengxiang Yang,et al. A hybrid immigrants scheme for genetic algorithms in dynamic environments , 2007, Int. J. Autom. Comput..