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GECCO
2006
Springer
201views Optimization» more  GECCO 2006»
13 years 9 months ago
Selective self-adaptive approach to ant system for solving unit commitment problem
This paper presents a novel approach to solve the constrained unit commitment problem using Selective Self-Adaptive Ant System (SSAS) for improving search performance by automatic...
Songsak Chusanapiputt, Dulyatat Nualhong, Sujate J...
GECCO
2006
Springer
166views Optimization» more  GECCO 2006»
13 years 9 months ago
Comparing genetic robustness in generational vs. steady state evolutionary algorithms
Previous research has shown that evolutionary systems not only try to develop solutions that satisfy a fitness requirement, but indirectly attempt to develop genetically robust so...
Josh Jones, Terry Soule
GECCO
2006
Springer
159views Optimization» more  GECCO 2006»
13 years 9 months ago
Multi-step environment learning classifier systems applied to hyper-heuristics
Heuristic Algorithms (HA) are very widely used to tackle practical problems in operations research. They are simple, easy to understand and inspire confidence. Many of these HAs a...
Javier G. Marín-Blázquez, Sonia Schu...
GECCO
2006
Springer
133views Optimization» more  GECCO 2006»
13 years 9 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
GECCO
2006
Springer
161views Optimization» more  GECCO 2006»
13 years 9 months ago
An empirical investigation of how and why neutrality affects evolutionary search
The effects of neutrality on evolutionary search have been considered in a number of interesting studies, the results of which, however, have been contradictory. Some researchers ...
Edgar Galván López, Riccardo Poli