Impacts of invariance in search: When CMA-ES and PSO face ill-conditioned and non-separable problems

[1]  Raymond Ros,et al.  A Simple Modification in CMA-ES Achieving Linear Time and Space Complexity , 2008, PPSN.

[2]  Nikolaus Hansen,et al.  Adaptive Encoding: How to Render Search Coordinate System Invariant , 2008, PPSN.

[3]  Olivier Teytaud,et al.  Comparison-Based Algorithms Are Robust and Randomized Algorithms Are Anytime , 2007, Evolutionary Computation.

[4]  Olivier Teytaud,et al.  Continuous lunches are free! , 2007, GECCO '07.

[5]  A. Groenwold,et al.  Comparison of linear and classical velocity update rules in particle swarm optimization: notes on scale and frame invariance , 2007 .

[6]  A. Groenwold,et al.  Comparison of linear and classical velocity update rules in particle swarm optimization: notes on diversity , 2007 .

[7]  M. Kenward,et al.  An Introduction to the Bootstrap , 2007 .

[8]  Vitaliy Feoktistov Differential Evolution: In Search of Solutions , 2006 .

[9]  Vitaliy Feoktistov,et al.  Differential Evolution: In Search of Solutions (Springer Optimization and Its Applications) , 2006 .

[10]  Yun-Wei Shang,et al.  A Note on the Extended Rosenbrock Function , 2006, Evolutionary Computation.

[11]  Pedro Larrañaga,et al.  Towards a New Evolutionary Computation - Advances in the Estimation of Distribution Algorithms , 2006, Towards a New Evolutionary Computation.

[12]  Nikolaus Hansen,et al.  The CMA Evolution Strategy: A Comparing Review , 2006, Towards a New Evolutionary Computation.

[13]  Nikolaus Hansen,et al.  A restart CMA evolution strategy with increasing population size , 2005, 2005 IEEE Congress on Evolutionary Computation.

[14]  Anne Auger,et al.  Performance evaluation of an advanced local search evolutionary algorithm , 2005, 2005 IEEE Congress on Evolutionary Computation.

[15]  V. Miranda Evolutionary Algorithms with Particle Swarm Movements , 2005, Proceedings of the 13th International Conference on, Intelligent Systems Application to Power Systems.

[16]  Daniel N. Wilke,et al.  Recent Developments of the Particle Swarm Optimization Algorithm , 2005, Computational Intelligence.

[17]  Nikolaus Hansen,et al.  Evaluating the CMA Evolution Strategy on Multimodal Test Functions , 2004, PPSN.

[18]  Hans-Paul Schwefel,et al.  Evolution strategies – A comprehensive introduction , 2002, Natural Computing.

[19]  Marc Toussaint,et al.  A No-Free-Lunch theorem for non-uniform distributions of target functions , 2004, J. Math. Model. Algorithms.

[20]  Marc Toussaint,et al.  On Classes of Functions for which No Free Lunch Results Hold , 2001, Inf. Process. Lett..

[21]  Maurice Clerc,et al.  The particle swarm - explosion, stability, and convergence in a multidimensional complex space , 2002, IEEE Trans. Evol. Comput..

[22]  L. D. Whitley,et al.  The No Free Lunch and problem description length , 2001 .

[23]  Nikolaus Hansen,et al.  Completely Derandomized Self-Adaptation in Evolution Strategies , 2001, Evolutionary Computation.

[24]  R. Eberhart,et al.  Empirical study of particle swarm optimization , 1999, Proceedings of the 1999 Congress on Evolutionary Computation-CEC99 (Cat. No. 99TH8406).

[25]  Yue Shi,et al.  A modified particle swarm optimizer , 1998, 1998 IEEE International Conference on Evolutionary Computation Proceedings. IEEE World Congress on Computational Intelligence (Cat. No.98TH8360).

[26]  Xin Yao,et al.  Fast Evolution Strategies , 1997, Evolutionary Programming.

[27]  David H. Wolpert,et al.  No free lunch theorems for optimization , 1997, IEEE Trans. Evol. Comput..

[28]  Nikolaus Hansen,et al.  Adapting arbitrary normal mutation distributions in evolution strategies: the covariance matrix adaptation , 1996, Proceedings of IEEE International Conference on Evolutionary Computation.

[29]  James Kennedy,et al.  Particle swarm optimization , 2002, Proceedings of ICNN'95 - International Conference on Neural Networks.

[30]  Hans-Paul Schwefel,et al.  Evolution and optimum seeking , 1995, Sixth-generation computer technology series.

[31]  Patrick D. Surry,et al.  Fundamental Limitations on Search Algorithms: Evolutionary Computing in Perspective , 1995, Computer Science Today.

[32]  Hans-Paul Schwefel,et al.  Evolution and Optimum Seeking: The Sixth Generation , 1993 .

[33]  W. Vent,et al.  Rechenberg, Ingo, Evolutionsstrategie — Optimierung technischer Systeme nach Prinzipien der biologischen Evolution. 170 S. mit 36 Abb. Frommann‐Holzboog‐Verlag. Stuttgart 1973. Broschiert , 1975 .

[34]  Ingo Rechenberg,et al.  Evolutionsstrategie : Optimierung technischer Systeme nach Prinzipien der biologischen Evolution , 1973 .