A Probabilistic Memetic Framework
暂无分享,去创建一个
[1] Jing J. Liang,et al. Dynamic multi-swarm particle swarm optimizer with local search , 2005, 2005 IEEE Congress on Evolutionary Computation.
[2] Jim Smith,et al. A Memetic Algorithm With Self-Adaptive Local Search: TSP as a case study , 2000, GECCO.
[3] Mark Sumner,et al. A Fast Adaptive Memetic Algorithm for Online and Offline Control Design of PMSM Drives , 2007, IEEE Transactions on Systems, Man, and Cybernetics, Part B (Cybernetics).
[4] Jing Tang,et al. Diversity-adaptive parallel memetic algorithm for solving large scale combinatorial optimization problems , 2006, Soft Comput..
[5] Jim E. Smith,et al. Coevolving Memetic Algorithms: A Review and Progress Report , 2007, IEEE Transactions on Systems, Man, and Cybernetics, Part B (Cybernetics).
[6] Aimo A. Törn,et al. Global Optimization , 1999, Science.
[7] Nikolaus Hansen,et al. A restart CMA evolution strategy with increasing population size , 2005, 2005 IEEE Congress on Evolutionary Computation.
[8] Hisao Ishibuchi,et al. Special Issue on Memetic Algorithms , 2007, IEEE Trans. Syst. Man Cybern. Part B.
[9] Xin Yao,et al. A Memetic Algorithm for VLSI Floorplanning , 2007, IEEE Transactions on Systems, Man, and Cybernetics, Part B (Cybernetics).
[10] Xin Yao,et al. Simulated annealing with extended neighbourhood , 1991, Int. J. Comput. Math..
[11] Wan-Chi Siu,et al. A study of the Lamarckian evolution of recurrent neural networks , 2000, IEEE Trans. Evol. Comput..
[12] Hitoshi Iba,et al. Enhancing differential evolution performance with local search for high dimensional function optimization , 2005, GECCO '05.
[13] Marcus Gallagher,et al. Experimental results for the special session on real-parameter optimization at CEC 2005: a simple, continuous EDA , 2005, 2005 IEEE Congress on Evolutionary Computation.
[14] Francisco Herrera,et al. Real-Coded Memetic Algorithms with Crossover Hill-Climbing , 2004, Evolutionary Computation.
[15] David H. Wolpert,et al. No free lunch theorems for optimization , 1997, IEEE Trans. Evol. Comput..
[16] Pablo Moscato,et al. On Evolution, Search, Optimization, Genetic Algorithms and Martial Arts : Towards Memetic Algorithms , 1989 .
[17] Anne Auger,et al. Reconsidering the progress rate theory for evolution strategies in finite dimensions , 2006, GECCO '06.
[18] Hans-Paul Schwefel,et al. Evolution strategies – A comprehensive introduction , 2002, Natural Computing.
[19] Francisco Herrera,et al. Adaptive local search parameters for real-coded memetic algorithms , 2005, 2005 IEEE Congress on Evolutionary Computation.
[20] Kay Chen Tan,et al. A Multiobjective Memetic Algorithm Based on Particle Swarm Optimization , 2007, IEEE Transactions on Systems, Man, and Cybernetics, Part B (Cybernetics).
[21] Zbigniew Michalewicz,et al. Genetic Algorithms Plus Data Structures Equals Evolution Programs , 1994 .
[22] Zexuan Zhu,et al. Wrapper–Filter Feature Selection Algorithm Using a Memetic Framework , 2007, IEEE Transactions on Systems, Man, and Cybernetics, Part B (Cybernetics).
[23] A. Keane,et al. Evolutionary Optimization of Computationally Expensive Problems via Surrogate Modeling , 2003 .
[24] A. Dickson. On Evolution , 1884, Science.
[25] Tung-Kuan Liu,et al. Hybrid Taguchi-genetic algorithm for global numerical optimization , 2004, IEEE Transactions on Evolutionary Computation.
[26] W. Hart. Adaptive global optimization with local search , 1994 .
[27] Jürgen Branke,et al. Balancing Population- and Individual-Level Adaptation in Changing Environments , 2009, Adapt. Behav..
[28] Gregory Gutin,et al. A selection of useful theoretical tools for the design and analysis of optimization heuristics , 2009, Memetic Comput..
[29] Hans-Paul Schwefel,et al. Evolution and Optimum Seeking: The Sixth Generation , 1993 .
[30] Jorge Nocedal,et al. Algorithm 778: L-BFGS-B: Fortran subroutines for large-scale bound-constrained optimization , 1997, TOMS.
[31] Zbigniew Michalewicz,et al. Genetic algorithms + data structures = evolution programs (2nd, extended ed.) , 1994 .
[32] Hitoshi Iba,et al. Accelerating Differential Evolution Using an Adaptive Local Search , 2008, IEEE Transactions on Evolutionary Computation.
[33] Hisao Ishibuchi,et al. Special issue on emerging trends in soft computing: memetic algorithms , 2009, Soft Comput..
[34] Hans-Paul Schwefel,et al. Evolution and optimum seeking , 1995, Sixth-generation computer technology series.
[35] John A. Nelder,et al. A Simplex Method for Function Minimization , 1965, Comput. J..
[36] James Smith,et al. A tutorial for competent memetic algorithms: model, taxonomy, and design issues , 2005, IEEE Transactions on Evolutionary Computation.
[37] M. J. D. Powell,et al. An efficient method for finding the minimum of a function of several variables without calculating derivatives , 1964, Comput. J..
[38] Richard J. Beckman,et al. A Comparison of Three Methods for Selecting Values of Input Variables in the Analysis of Output From a Computer Code , 2000, Technometrics.
[39] Natalio Krasnogor,et al. Editorial to the first issue , 2009, Memetic Comput..
[40] G. Croes. A Method for Solving Traveling-Salesman Problems , 1958 .
[41] Xin Yao,et al. Evolutionary programming made faster , 1999, IEEE Trans. Evol. Comput..
[42] David E. Goldberg,et al. Optimizing Global-Local Search Hybrids , 1999, GECCO.
[43] Thomas Bäck,et al. A Survey of Evolution Strategies , 1991, ICGA.
[44] C. D. Gelatt,et al. Optimization by Simulated Annealing , 1983, Science.
[45] D. Quagliarella,et al. Airfoil and wing design through hybrid optimization strategies , 1998 .
[46] C. Houck,et al. Utilizing Lamarckian Evolution and the Baldwin Effect in Hybrid Genetic Algorithms , 2007 .
[47] Ruhul A. Sarker,et al. Memetic algorithms for solving job-shop scheduling problems , 2009, Memetic Comput..
[48] Xin Yao,et al. Fast Evolution Strategies , 1997, Evolutionary Programming.
[49] Lawrence. Davis,et al. Handbook Of Genetic Algorithms , 1990 .
[50] Andy J. Keane,et al. Combining Global and Local Surrogate Models to Accelerate Evolutionary Optimization , 2007, IEEE Transactions on Systems, Man, and Cybernetics, Part C (Applications and Reviews).
[51] Yuping Wang,et al. An orthogonal genetic algorithm with quantization for global numerical optimization , 2001, IEEE Trans. Evol. Comput..
[52] Andy J. Keane,et al. Meta-Lamarckian learning in memetic algorithms , 2004, IEEE Transactions on Evolutionary Computation.
[53] Jürgen Teich,et al. Systematic integration of parameterized local search into evolutionary algorithms , 2004, IEEE Transactions on Evolutionary Computation.
[54] Carlos García-Martínez,et al. Hybrid real-coded genetic algorithms with female and male differentiation , 2005, 2005 IEEE Congress on Evolutionary Computation.
[55] R. Belew,et al. Evolutionary algorithms with local search for combinatorial optimization , 1998 .
[56] David E. Goldberg,et al. Designing Efficient Genetic and Evolutionary Algorithm Hybrids , 2005 .
[57] Scott Kirkpatrick,et al. Optimization by Simmulated Annealing , 1983, Sci..
[58] 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).
[59] Jing J. Liang,et al. Novel composition test functions for numerical global optimization , 2005, Proceedings 2005 IEEE Swarm Intelligence Symposium, 2005. SIS 2005..