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EMO
2006
Springer
173views Optimization» more  EMO 2006»
13 years 11 months ago
Differential Evolution versus Genetic Algorithms in Multiobjective Optimization
This paper presents a comprehensive comparison between the performance of state-of-the-art genetic algorithms NSGA-II, SPEA2 and IBEA and their differential evolution based variant...
Tea Tusar, Bogdan Filipic
GECCO
2007
Springer
172views Optimization» more  GECCO 2007»
14 years 1 months ago
An extended mutation concept for the local selection based differential evolution algorithm
A new mutation concept is proposed to generalize local selection based Differential Evolution algorithm to work in general multimodal problems. Three variations of the proposed me...
Jani Rönkkönen, Jouni Lampinen
GECCO
2007
Springer
155views Optimization» more  GECCO 2007»
14 years 1 months ago
Differential evolution and non-separability: using selective pressure to focus search
Recent results show that the Differential Evolution algorithm has significant difficulty on functions that are not linearly separable. On such functions, the algorithm must rely...
Andrew M. Sutton, Monte Lunacek, L. Darrell Whitle...
GECCO
2006
Springer
175views Optimization» more  GECCO 2006»
13 years 11 months ago
A comparative study of differential evolution variants for global optimization
In this paper, we present an empirical comparison of some Differential Evolution variants to solve global optimization problems. The aim is to identify which one of them is more s...
Efrén Mezura-Montes, Jesús Vel&aacut...
SYNASC
2005
IEEE
170views Algorithms» more  SYNASC 2005»
14 years 1 months ago
Density Based Clustering with Crowding Differential Evolution
The aim of this work is to analyze the applicability of crowding differential evolution to unsupervised clustering. The basic idea of this approach, interpreting the clustering pr...
Daniela Zaharie