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» Representations for evolutionary algorithms
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ASC
2004
15 years 6 months ago
Solving nonconvex climate control problems: pitfalls and algorithm performances
Global optimization can be used as the main component for reliable decision support systems. In this contribution, we explore numerical solution techniques for nonconvex and nondi...
Carmen G. Moles, Julio R. Banga, Klaus Keller
173
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AAAI
2010
15 years 8 months ago
Learning Causal Models of Relational Domains
Methods for discovering causal knowledge from observational data have been a persistent topic of AI research for several decades. Essentially all of this work focuses on knowledge...
Marc Maier, Brian Taylor, Huseyin Oktay, David Jen...
LION
2009
Springer
136views Optimization» more  LION 2009»
16 years 1 months ago
Fitness Landscape Analysis for the Resource Constrained Project Scheduling Problem
The fitness landscape of the resource constrained project scheduling problem is investigated by examining the search space position type distribution and the correlation between t...
Jens Czogalla, Andreas Fink
189
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GECCO
2004
Springer
155views Optimization» more  GECCO 2004»
16 years 6 days ago
Genetic Network Programming with Reinforcement Learning and Its Performance Evaluation
A new graph-based evolutionary algorithm named “Genetic Network Programming, GNP” has been proposed. GNP represents its solutions as directed graph structures, which can improv...
Shingo Mabu, Kotaro Hirasawa, Jinglu Hu
GECCO
2003
Springer
118views Optimization» more  GECCO 2003»
16 years 21 hour ago
Population Sizing Based on Landscape Feature
Abstract. Population size for EvolutionaryAlgorithms is usually an empirical parameter. We study the population size from aspects of fitness landscapes’ ruggedness and Probably ...
Jian Zhang, Xiaohui Yuan, Bill P. Buckles