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AISB
1994
Springer
15 years 9 months ago
An Empirical Comparison of Selection Methods in Evolutionary Algorithms
Selection methods in Evolutionary Algorithms, including Genetic Algorithms, Evolution Strategies ES and Evolutionary Programming, EP are compared by observing the rate of converge...
Peter J. B. Hancock
GECCO
2004
Springer
132views Optimization» more  GECCO 2004»
15 years 11 months ago
Robust and Efficient Genetic Algorithms with Hierarchical Niching and a Sustainable Evolutionary Computation Model
This paper proposes a new niching method named hierarchical niching, which combines spatial niching in search space and a continuous temporal niching concept. The method is natural...
Jianjun Hu, Erik D. Goodman
99
Voted
AEI
2002
42views more  AEI 2002»
15 years 5 months ago
Constraint-handling in genetic algorithms through the use of dominance-based tournament selection
Carlos A. Coello Coello, Efrén Mezura-Monte...
169
Voted
CEC
2005
IEEE
15 years 11 months ago
Revisiting genetic selection in the XCS learning classifier system
The XCS Learning Classifier System has traditionally used roulette wheel selection within its genetic algorithm component. Recently, tournament selection has been suggested as prov...
Faten Kharbat, Larry Bull, Mohammed Odeh
165
Voted
GECCO
2005
Springer
151views Optimization» more  GECCO 2005»
15 years 11 months ago
Backward-chaining genetic programming
Tournament selection is the most frequently used form of selection in genetic programming (GP). Tournament selection chooses individuals uniformly at random from the population. A...
Riccardo Poli, William B. Langdon