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EVOW
2009
Springer
13 years 2 months ago
Conquering the Needle-in-a-Haystack: How Correlated Input Variables Beneficially Alter the Fitness Landscape for Neural Networks
Abstract. Evolutionary algorithms such as genetic programming and grammatical evolution have been used for simultaneously optimizing network architecture, variable selection, and w...
Stephen D. Turner, Marylyn D. Ritchie, William S. ...
GEM
2009
13 years 2 months ago
Degenerate Neutrality Creates Evolvable Fitness Landscapes
- Understanding how systems can be designed to be evolvable is fundamental to research in optimization, evolution, and complex systems science. Many researchers have thus recognize...
James M. Whitacre, Axel Bender
ECAL
2007
Springer
13 years 11 months ago
Evolving Cultural Learning Parameters in an NK Fitness Landscape
Cultural learning allows individuals to acquire knowledge from others through non-genetic means. The effect of cultural learning on the evolution of artificial organisms has been...
Dara Curran, Colm O'Riordan, Humphrey Sorensen
CEC
2007
IEEE
13 years 11 months ago
Non-separable fitness functions for evolutionary shape optimization benchmarking
—Target shape matching can be used as a quick and easy surrogate task when evaluating optimization algorithms intended for computationally expensive tasks, such as turbine blade ...
Tim A. Yates, Thorsten Schnier
GECCO
2007
Springer
172views Optimization» more  GECCO 2007»
13 years 11 months ago
A multimodal particle swarm optimizer based on fitness Euclidean-distance ratio
One of the most critical issues that remains to be fully addressed in existing multimodal evolutionary algorithms is the difficulty in pre-specifying parameters used for estimatin...
Xiaodong Li