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EUROGP
1999
Springer
151views Optimization» more  EUROGP 1999»
15 years 11 months ago
Phenotype Plasticity in Genetic Programming: A Comparison of Darwinian and Lamarckian Inheritance Schemes
Abstract We consider a form of phenotype plasticity in Genetic Programming (GP). This takes the form of a set of real-valued numerical parameters associated with each individual, a...
Anna Esparcia-Alcázar, Ken Sharman
MICRO
1990
IEEE
147views Hardware» more  MICRO 1990»
15 years 10 months ago
Motivation and framework for using genetic algorithms for microcode compaction
Genetic algorithms are a robust adaptive optimization technique based on a biological paradigm. They perform efficient search on poorly-defined spaces by maintaining an ordered po...
Steven J. Beaty, Darrell Whitley, Gearold Johnson
GECCO
2006
Springer
124views Optimization» more  GECCO 2006»
15 years 10 months ago
Hierarchically organised evolution strategies on the parabolic ridge
Organising evolution strategies hierarchically has been proposed as a means for adapting strategy parameters such as step lengths. Experimental research has shown that on ridge fu...
Dirk V. Arnold, Alexander MacLeod
GECCO
2006
Springer
150views Optimization» more  GECCO 2006»
15 years 10 months ago
Evaluation relaxation using substructural information and linear estimation
The paper presents an evaluation-relaxation scheme where a fitness surrogate automatically adapts to the problem structure and the partial contributions of subsolutions to the fit...
Kumara Sastry, Cláudio F. Lima, David E. Go...
GECCO
2000
Springer
120views Optimization» more  GECCO 2000»
15 years 10 months ago
A Note on Learning and Evolution in Neural Networks
Interactions between evolution and lifetime learning are of great interest to studies of adaptive behaviour both in the natural world and the field of evolutionary computation. Th...
Brian Carse, Johan Oreland