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» An Empirical Comparison of Selection Methods in Evolutionary...
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WSC
2007
13 years 10 months ago
New greedy myopic and existing asymptotic sequential selection procedures: preliminary empirical results
Statistical selection procedures can identify the best of a finite set of alternatives, where “best” is defined in terms of the unknown expected value of each alternative’...
Stephen E. Chick, Jürgen Branke, Christian Sc...
GECCO
2007
Springer
276views Optimization» more  GECCO 2007»
14 years 1 months ago
Meta-optimizing semantic evolutionary search
I present MOSES (meta-optimizing semantic evolutionary search), a new probabilistic modeling (estimation of distribution) approach to program evolution. Distributions are not esti...
Moshe Looks
GECCO
2010
Springer
254views Optimization» more  GECCO 2010»
14 years 13 days ago
Evolutionary multi-objective optimization and decision making for selective laser sintering
This paper proposes an integrated approach to arrive at optimal build orientations, simultaneously minimizing surface roughness ‘Ra’ and build time ‘T’, for object manufac...
Nikhil Padhye, Kalyanmoy Deb
GECCO
2005
Springer
147views Optimization» more  GECCO 2005»
14 years 1 months ago
Unbiased tournament selection
Tournament selection is a popular form of selection which is commonly used with genetic algorithms, genetic programming and evolutionary programming. However, tournament selection...
Artem Sokolov, Darrell Whitley
GECCO
2011
Springer
264views Optimization» more  GECCO 2011»
12 years 11 months ago
Critical factors in the performance of novelty search
Novelty search is a recently proposed method for evolutionary computation designed to avoid the problem of deception, in which the fitness function guides the search process away...
Steijn Kistemaker, Shimon Whiteson