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» Information landscapes and the analysis of search algorithms
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GECCO
2008
Springer
137views Optimization» more  GECCO 2008»
14 years 11 months ago
Rank based variation operators for genetic algorithms
We show how and why using genetic operators that are applied with probabilities that depend on the fitness rank of a genotype or phenotype offers a robust alternative to the Sim...
Jorge Cervantes, Christopher R. Stephens
113
Voted
CCGRID
2004
IEEE
15 years 2 months ago
Search performance analysis and robust search algorithm in unstructured peer-to-peer networks
Recently Peer-to-Peer networks (P2P) have gained great attention and popularity. One key challenging aspect in a P2P resource sharing environment is an efficient searching algorit...
Tsungnan Lin, Hsinping Wang, Jianming Wang
CEC
2005
IEEE
15 years 3 months ago
A hybrid approach to parameter tuning in genetic algorithms
Abstract- Choosing the best parameter setting is a wellknown important and challenging task in Evolutionary Algorithms (EAs). As one of the earliest parameter tuning techniques, th...
Bo Yuan, Marcus Gallagher
97
Voted
GECCO
2006
Springer
161views Optimization» more  GECCO 2006»
15 years 1 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
83
Voted
EVOW
2008
Springer
15 years 1 days ago
A Memory Enhanced Evolutionary Algorithm for Dynamic Scheduling Problems
Abstract. This paper describes a memory enhanced evolutionary algorithm (EA) approach to the dynamic job shop scheduling problem. Memory enhanced EAs have been widely investigated ...
Gregory J. Barlow, Stephen F. Smith