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» A Perspective on Evolutionary Computation
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GECCO
2009
Springer
132views Optimization» more  GECCO 2009»
15 years 4 months ago
Cooperative micro-particle swarm optimization
Cooperative approaches have proved to be very useful in evolutionary computation due to their ability to solve efficiently high-dimensional complex problems through the cooperatio...
Konstantinos E. Parsopoulos

Publication
141views
14 years 4 months ago
Measures of Diversity for Populations and Distances Between Individuals with Highly Reorganizable Genomes
In this paper we address the problem of defining a measure of diversity for a population of individuals whose genome can be subjected to major reorganizations during the evolution...
Claudio Mattiussi, Markus Waibel, Dario Floreano
BRAIN
2009
Springer
16 years 1 months ago
Reading What Machines "Think"
Abstract. In this paper, we want to farther advance the parallelism between models of the brain and computing machines. We want to apply the same idea underlying neuroimaging techn...
Fabio Massimo Zanzotto, Danilo Croce
GECCO
2007
Springer
135views Optimization» more  GECCO 2007»
16 years 20 days ago
A cumulative evidential stopping criterion for multiobjective optimization evolutionary algorithms
In this work we present a novel and efficient algorithm– independent stopping criterion, called the MGBM criterion, suitable for Multiobjective Optimization Evolutionary Algorit...
Luis Martí, Jesús García, Ant...
GECCO
2006
Springer
133views Optimization» more  GECCO 2006»
15 years 10 months ago
A general coarse-graining framework for studying simultaneous inter-population constraints induced by evolutionary operations
The use of genotypic populations is necessary for adaptation in Evolutionary Algorithms. We use a technique called form-invariant commutation to study the immediate effect of evol...
Keki M. Burjorjee, Jordan B. Pollack