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GECCO
2008
Springer
131views Optimization» more  GECCO 2008»
15 years 8 months ago
Rigorous analyses of fitness-proportional selection for optimizing linear functions
Rigorous runtime analyses of evolutionary algorithms (EAs) mainly investigate algorithms that use elitist selection methods. Two algorithms commonly studied are Randomized Local S...
Edda Happ, Daniel Johannsen, Christian Klein, Fran...
GECCO
2008
Springer
154views Optimization» more  GECCO 2008»
15 years 8 months ago
Genetic algorithms for self-spreading nodes in MANETs
We present a force-based genetic algorithm for self-spreading mobile nodes uniformly over a geographical area. Wireless mobile nodes adjust their speed and direction using a genet...
Cem Safak Sahin, Elkin Urrea, M. Ümit Uyar, M...
GECCO
2008
Springer
137views Optimization» more  GECCO 2008»
15 years 8 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
GECCO
2008
Springer
324views Optimization» more  GECCO 2008»
15 years 8 months ago
Convergence behavior of the fully informed particle swarm optimization algorithm
The fully informed particle swarm optimization algorithm (FIPS) is very sensitive to changes in the population topology. The velocity update rule used in FIPS considers all the ne...
Marco Antonio Montes de Oca, Thomas Stützle
GECCO
2008
Springer
141views Optimization» more  GECCO 2008»
15 years 8 months ago
Potential fitness for genetic programming
We introduce potential fitness, a variant of fitness function that operates in the space of schemata and is applicable to tree-based genetic programing. The proposed evaluation ...
Krzysztof Krawiec, PrzemysBaw Polewski
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