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IJCM
2002
41views more  IJCM 2002»
13 years 5 months ago
An Experimental Study of Benchmarking Functions for Genetic Algorithms
Jason G. Digalakis, Konstantinos G. Margaritis
GECCO
2008
Springer
143views Optimization» more  GECCO 2008»
13 years 6 months ago
Application domain study of evolutionary algorithms in optimization problems
This paper deals with the problem of comparing and testing evolutionary algorithms, that is, the benchmarking problem, from an analysis point of view. A practical study of the app...
Pilar Caamaño, Francisco Bellas, José...
GECCO
2003
Springer
155views Optimization» more  GECCO 2003»
13 years 10 months ago
Adaptive Elitist-Population Based Genetic Algorithm for Multimodal Function Optimization
Abstract. This paper introduces a new technique called adaptive elitistpopulation search method for allowing unimodal function optimization methods to be extended to efficiently lo...
Kwong-Sak Leung, Yong Liang
TEC
2008
100views more  TEC 2008»
13 years 5 months ago
Real-Valued Compact Genetic Algorithms for Embedded Microcontroller Optimization
Recent research on compact genetic algorithms (cGAs) has proposed a number of evolutionary search methods with reduced memory requirements. In cGAs, the evolution of populations is...
Ernesto Mininno, Francesco Cupertino, David Naso
GECCO
2008
Springer
139views Optimization» more  GECCO 2008»
13 years 6 months ago
Coordinate change operators for genetic algorithms
This paper studies the issue of space coordinate change in genetic algorithms, based on two methods: convex quadratic approximations, and principal component analysis. In both met...
Elizabeth F. Wanner, Eduardo G. Carrano, Ricardo H...