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» Selecting for evolvable representations
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87
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GECCO
2006
Springer
133views Optimization» more  GECCO 2006»
15 years 4 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
90
Voted
ICEC
1994
72views more  ICEC 1994»
15 years 1 months ago
Evolving Better Representations Through Selective Genome Growth
Lee Altenberg
98
Voted
SEAL
1998
Springer
15 years 4 months ago
Genetic Programming with Active Data Selection
Genetic programming evolves Lisp-like programs rather than fixed size linear strings. This representational power combined with generality makes genetic programming an interesting ...
Byoung-Tak Zhang, Dong-Yeon Cho
EUROGP
2008
Springer
112views Optimization» more  EUROGP 2008»
15 years 2 months ago
Evolvability Via Modularity-Induced Mutational Focussing
Abstract. This work postulates a mechanism by which random genotypic variation is directed towards favourable phenotypic variation. Evolvability is a poorly understood concept at p...
Richard M. Downing
85
Voted
CEC
2007
IEEE
15 years 6 months ago
Evolvability and Redundancy in Shared Grammar Evolution
— Shared grammar evolution (SGE) is a novel scheme for representing and evolving a population of variablelength programs as a shared set of grammatical productions. Productions t...
Martin H. Luerssen, David M. W. Powers