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105
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GECCO
2005
Springer
163views Optimization» more  GECCO 2005»
15 years 3 months ago
Memory-based immigrants for genetic algorithms in dynamic environments
Investigating and enhancing the performance of genetic algorithms in dynamic environments have attracted a growing interest from the community of genetic algorithms in recent year...
Shengxiang Yang
86
Voted
GECCO
2005
Springer
209views Optimization» more  GECCO 2005»
15 years 3 months ago
Genetic algorithm optimization of superresolution parameters
Superresolution is the process of producing a high resolution image from a collection of low resolution images. This process has potential application in a wide spectrum of fields...
Barry Ahrens
GECCO
2005
Springer
116views Optimization» more  GECCO 2005»
15 years 3 months ago
Measuring, enabling and comparing modularity, regularity and hierarchy in evolutionary design
For computer-automated design systems to scale to complex designs they must be able to produce designs that exhibit the characteristics of modularity, regularity and hierarchy –...
Gregory Hornby
86
Voted
GECCO
2005
Springer
200views Optimization» more  GECCO 2005»
15 years 3 months ago
An extension of vose's markov chain model for genetic algorithms
The paper presents an extension of Vose’s Markov chain model for genetic algorithm (GA). The model contains not only standard genetic operators such as mutation and crossover bu...
Anna Paszynska
77
Voted
GECCO
2005
Springer
232views Optimization» more  GECCO 2005»
15 years 3 months ago
Factorial representations to generate arbitrary search distributions
A powerful approach to search is to try to learn a distribution of good solutions (in particular of the dependencies between their variables) and use this distribution as a basis ...
Marc Toussaint