Contemporary Evolution Strategies

This book surveys key algorithm developments between 1990 and 2012, with brief descriptions, a unified pseudocode for each algorithm and downloadable program code. Provides a taxonomy to clarify similarities and differences as well as historical relationships.

[1]  Tom Schaul,et al.  Efficient natural evolution strategies , 2009, GECCO.

[2]  Boxin Tang.  Orthogonal Array-Based Latin Hypercubes , 1993 .

[3]  Christian Igel,et al.  A computational efficient covariance matrix update and a (1+1)-CMA for evolution strategies , 2006, GECCO.

[4]  Günter Rudolph,et al.  An Evolutionary Algorithm for Integer Programming , 1994, PPSN.

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

[6]  Welch Bl.  THE GENERALIZATION OF ‘STUDENT'S’ PROBLEM WHEN SEVERAL DIFFERENT POPULATION VARLANCES ARE INVOLVED , 1947 .

[7]  O. M. Shir.  Niching in derandomized evolution strategies and its applications in quantum control , 2008 .

[8]  Dirk V. Arnold,et al.  Improving Evolution Strategies through Active Covariance Matrix Adaptation , 2006, 2006 IEEE International Conference on Evolutionary Computation.

[9]  Günter Rudolph,et al.  When parameter tuning actually is parameter control , 2011, GECCO '11.

[10]  Oliver Kramer,et al.  A Review of Constraint-Handling Techniques for Evolution Strategies , 2010, Appl. Comput. Intell. Soft Comput..

[11]  Hans-Paul Schwefel,et al.  Numerical Optimization of Computer Models , 1982 .

[12]  Tom Schaul,et al.  Stochastic search using the natural gradient , 2009, ICML '09.

[13]  Petros Koumoutsakos,et al.  Increasing the Serial and the Parallel Performance of the CMA-Evolution Strategy with Large Populations , 2002, PPSN.

[14]  Anne Auger,et al.  Comparing results of 31 algorithms from the black-box optimization benchmarking BBOB-2009 , 2010, GECCO '10.

[15]  Robert Tibshirani,et al.  The Elements of Statistical Learning: Data Mining, Inference, and Prediction, 2nd Edition , 2001, Springer Series in Statistics.

[16]  Günter Rudolph,et al.  On Correlated Mutations in Evolution Strategies , 1992, PPSN.

[17]  Nikolaus Hansen,et al.  A Derandomized Approach to Self-Adaptation of Evolution Strategies , 1994, Evolutionary Computation.

[18]  Thomas Bäck,et al.  Mixed-integer evolution strategies for parameter optimization and their applications to medical image analysis , 2005 .

[19]  Petros Koumoutsakos,et al.  Local Meta-models for Optimization Using Evolution Strategies , 2006, PPSN.

[20]  Nikolaus Hansen,et al.  Step-Size Adaption Based on Non-Local Use of Selection Information , 1994, PPSN.

[21]  N. Hansen,et al.  Real-Parameter Black-Box Optimization Benchmarking: Experimental Setup , 2010 .

[22]  Jing J. Liang,et al.  Problem Definitions and Evaluation Criteria for the CEC 2005 Special Session on Real-Parameter Optimization , 2005 .

[23]  K. Price.  Differential evolution vs. the functions of the 2/sup nd/ ICEO , 1997, Proceedings of 1997 IEEE International Conference on Evolutionary Computation (ICEC '97).

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

[25]  Tom Schaul,et al.  Natural Evolution Strategies , 2008, 2008 IEEE Congress on Evolutionary Computation (IEEE World Congress on Computational Intelligence).