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GECCO
2004
Springer
125views Optimization» more  GECCO 2004»
14 years 3 months ago
Population-Based Iterated Local Search: Restricting Neighborhood Search by Crossover
Abstract. Iterated local search (ILS) is a powerful meta-heuristic algorithm applied to a large variety of combinatorial optimization problems. Contrary to evolutionary algorithms ...
Dirk Thierens
GECCO
2003
Springer
112views Optimization» more  GECCO 2003»
14 years 3 months ago
Dispersion-Based Population Initialization
Reliable execution and analysis of an evolutionary algorithm (EA) normally requires many runs to provide reasonable assurance that stochastic effects have been properly considered...
Ronald W. Morrison
GECCO
2010
Springer
150views Optimization» more  GECCO 2010»
14 years 2 months ago
Object-level recombination of commodity applications
This paper presents ObjRecombGA, a genetic algorithm framework for recombining related programs at the object file level. A genetic algorithm guides the selection of object file...
Blair Foster, Anil Somayaji
GECCO
2009
Springer
159views Optimization» more  GECCO 2009»
14 years 2 months ago
Bayesian network structure learning using cooperative coevolution
We propose a cooperative-coevolution – Parisian trend – algorithm, IMPEA (Independence Model based Parisian EA), to the problem of Bayesian networks structure estimation. It i...
Olivier Barrière, Evelyne Lutton, Pierre-He...
GECCO
2007
Springer
182views Optimization» more  GECCO 2007»
14 years 1 months ago
Stochastic training of a biologically plausible spino-neuromuscular system model
A primary goal of evolutionary robotics is to create systems that are as robust and adaptive as the human body. Moving toward this goal often involves training control systems tha...
Stanley Phillips Gotshall, Terence Soule