Sub-structural Niching in Non-stationary Environments
暂无分享,去创建一个
[1] M. Pelikán,et al. The Bivariate Marginal Distribution Algorithm , 1999 .
[2] Kalyanmoy Deb,et al. Analyzing Deception in Trap Functions , 1992, FOGA.
[3] Christian Bierwirth,et al. Production Scheduling and Rescheduling with Genetic Algorithms , 1999, Evolutionary Computation.
[4] Terence C. Fogarty,et al. Learning the local search range for genetic optimisation in nonstationary environments , 1997, Proceedings of 1997 IEEE International Conference on Evolutionary Computation (ICEC '97).
[5] David E. Goldberg,et al. Nonstationary Function Optimization Using Genetic Algorithms with Dominance and Diploidy , 1987, ICGA.
[6] D. Ackley. A connectionist machine for genetic hillclimbing , 1987 .
[7] Dirk Thierens,et al. Linkage Information Processing In Distribution Estimation Algorithms , 1999, GECCO.
[8] 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).
[9] W. Punch,et al. A Genetic Algorithm Approach to Dynamic Job Shop Scheduling Problems , 1997 .
[10] David E. Goldberg,et al. Linkage Identification by Non-monotonicity Detection for Overlapping Functions , 1999, Evolutionary Computation.
[11] Hajime Kita,et al. Adaption to a Changing Environment by Means of the Thermodynamical Genetic Algorithm , 1996, PPSN.
[12] David E. Goldberg,et al. The Design of Innovation: Lessons from and for Competent Genetic Algorithms , 2002 .
[13] H. Kargupta,et al. Computational processes of evolution and the gene expression messy genetic algorithm , 1996 .
[14] Shumeet Baluja,et al. A Method for Integrating Genetic Search Based Function Optimization and Competitive Learning , 1994 .
[15] G. Harik. Linkage Learning via Probabilistic Modeling in the ECGA , 1999 .
[16] D. Dasgupta. Incorporating Redundancy and Gene Activation Mechanisms i n Genetic search for adapting to Non-Stationary Environments , 1995 .
[17] David E. Goldberg,et al. Linkage Problem, Distribution Estimation, and Bayesian Networks , 2000, Evolutionary Computation.
[18] J. Rissanen,et al. Modeling By Shortest Data Description* , 1978, Autom..
[19] John H. Holland,et al. Adaptation in Natural and Artificial Systems: An Introductory Analysis with Applications to Biology, Control, and Artificial Intelligence , 1992 .
[20] K. Deb,et al. Rapid, Accurate Optimization of Diicult Problems Using Fast Messy Genetic Algorithms Rapid, Accurate Optimization of Diicult Problems Using Fast Messy Genetic Algorithms , 1993 .
[21] Alden H. Wright,et al. Efficient Linkage Discovery by Limited Probing , 2003, GECCO.
[22] Hajime Kita,et al. Adaptation to a Changing Environment by Means of the Feedback Thermodynamical Genetic Algorithm , 1996, PPSN.
[23] Philippe Collard,et al. An Evolutionary Approach for Time Dependent Optimization , 1997, Int. J. Artif. Intell. Tools.
[24] 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 .
[25] Kalyanmoy Deb,et al. Messy Genetic Algorithms: Motivation, Analysis, and First Results , 1989, Complex Syst..
[26] John J. Grefenstette,et al. Genetic Algorithms for Changing Environments , 1992, PPSN.
[27] Alden H. Wright,et al. Efficient Linkage Discovery by Limited Probing , 2003, Evolutionary Computation.
[28] Kalyanmoy Deb,et al. Massive Multimodality, Deception, and Genetic Algorithms , 1992, PPSN.
[29] Ying-ping Chen,et al. Extending the Scalability of Linkage Learning Genetic Algorithms: Theory and Practice , 2004 .
[30] Hussein A. Abbass,et al. Oiling the Wheels of Change: The Role of Adaptive Automatic Problem Decomposition in Non-Stationary Environments , 2005, ArXiv.
[31] W. K. George,et al. University of Illinois at Urbana-Champain , 1997 .
[32] David E. Goldberg,et al. Genetic Algorithm Design Inspired by Organizational Theory: Pilot Study of a Dependency Structure Matrix Driven Genetic Algorithm , 2003, GECCO.
[33] Hajime Kita,et al. Adaptation to Changing Environments by Means of the Memory Based Thermodynamical Genetic Algorithm , 1997, ICGA.
[34] Dirk Thierens,et al. Mixing in Genetic Algorithms , 1993, ICGA.
[35] C. E. SHANNON,et al. A mathematical theory of communication , 1948, MOCO.
[36] Jürgen Branke,et al. Evolutionary Optimization in Dynamic Environments , 2001, Genetic Algorithms and Evolutionary Computation.
[37] Erik D. Goodman,et al. A Genetic Algorithm Approach to Dynamic Job Shop Scheduling Problem , 1997, ICGA.