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» The Detrimentality of Crossover
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AUSAI
2007
Springer
13 years 11 months ago
The Detrimentality of Crossover
The traditional concept of a genetic algorithm (GA) is that of selection, crossover and mutation. However, a limited amount of data from the literature has suggested that the nich...
Andrew Czarn, Cara MacNish, Kaipillil Vijayan, Ber...
GPEM
2000
103views more  GPEM 2000»
13 years 5 months ago
Size Fair and Homologous Tree Crossovers for Tree Genetic Programming
Abstract. Size fair and homologous crossover genetic operators for tree based genetic programming are described and tested. Both produce considerably reduced increases in program s...
William B. Langdon
GECCO
2008
Springer
119views Optimization» more  GECCO 2008»
13 years 6 months ago
GP age-layer and crossover effects in bid-offer spread prediction
The bid-offer spread on equity options is a key source of profits for market makers, and a key cost for those trading in the options. Spreads are influenced by dynamic market f...
Amy Willis, Suneer Patel, Christopher D. Clack
GECCO
2006
Springer
133views Optimization» more  GECCO 2006»
13 years 9 months ago
Selecting for evolvable representations
Evolutionary algorithms tend to produce solutions that are not evolvable: Although current fitness may be high, further search is impeded as the effects of mutation and crossover ...
Joseph Reisinger, Risto Miikkulainen
EVOW
1994
Springer
13 years 9 months ago
Competitive Evolution: A Natural Approach to Operator Selection
One of the main problems in applying evolutionary optimisation methods is the choice of operators and parameter values. This paper propose a competitive evolution method, in which ...
Q. Tuan Pham