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» The Learning Power of Evolution
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GECCO
2006
Springer
173views Optimization» more  GECCO 2006»
15 years 7 months ago
Pareto-coevolutionary genetic programming classifier
The conversion and extension of the Incremental ParetoCoevolution Archive algorithm (IPCA) into the domain of Genetic Programming classifier evolution is presented. In order to ac...
Michal Lemczyk, Malcolm I. Heywood
AAAI
2007
15 years 6 months ago
Acquiring Visibly Intelligent Behavior with Example-Guided Neuroevolution
Much of artificial intelligence research is focused on devising optimal solutions for challenging and well-defined but highly constrained problems. However, as we begin creating...
Bobby D. Bryant, Risto Miikkulainen
CORR
2002
Springer
87views Education» more  CORR 2002»
15 years 3 months ago
Myths and Legends of the Baldwin Effect
This position paper argues that the Baldwin effect is widely misunderstood by the evolutionary computation community. The misunderstandings appear to fall into two general categor...
Peter D. Turney
ATAL
2007
Springer
15 years 7 months ago
A unified framework for multi-agent agreement
Multi-Agent Agreement problems (MAP) - the ability of a population of agents to search out and converge on a common state - are central issues in many multi-agent settings, from d...
Kiran Lakkaraju, Les Gasser
WABI
2010
Springer
167views Bioinformatics» more  WABI 2010»
15 years 2 months ago
Quantifying the Strength of Natural Selection of a Motif Sequence
Quantification of selective pressures on regulatory sequences is a central question in studying the evolution of gene regulatory networks. Previous methods focus primarily on sing...
Chen-Hsiang Yeang