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» Optimizing Sorting with Genetic Algorithms
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92
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TEC
2008
118views more  TEC 2008»
14 years 10 months ago
RM-MEDA: A Regularity Model-Based Multiobjective Estimation of Distribution Algorithm
Under mild conditions, it can be induced from the Karush-Kuhn-Tucker condition that the Pareto set, in the decision space, of a continuous multiobjective optimization problem is (m...
Qingfu Zhang, Aimin Zhou, Yaochu Jin
AUSAI
2009
Springer
15 years 4 months ago
A Distance Metric for Evolutionary Many-Objective Optimization Algorithms Using User-Preferences
In this paper we propose to use a distance metric based on user-preferences to efficiently find solutions for many-objective problems. In a user-preference based algorithm a decis...
Upali K. Wickramasinghe, Xiaodong Li
GECCO
2006
Springer
180views Optimization» more  GECCO 2006»
15 years 1 months ago
Improving cooperative GP ensemble with clustering and pruning for pattern classification
A boosting algorithm based on cellular genetic programming to build an ensemble of predictors is proposed. The method evolves a population of trees for a fixed number of rounds an...
Gianluigi Folino, Clara Pizzuti, Giandomenico Spez...
73
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EUROGP
2005
Springer
107views Optimization» more  EUROGP 2005»
15 years 3 months ago
Operator-Based Distance for Genetic Programming: Subtree Crossover Distance
Abstract. This paper explores distance measures based on genetic operators for genetic programming using tree structures. The consistency between genetic operators and distance mea...
Steven M. Gustafson, Leonardo Vanneschi
GECCO
2005
Springer
127views Optimization» more  GECCO 2005»
15 years 3 months ago
Investigating the performance of module acquisition in cartesian genetic programming
Embedded Cartesian Genetic Programming (ECGP) is a form of the graph based Cartesian Genetic Programming (CGP) in which modules are automatically acquired and evolved. In this pap...
James Alfred Walker, Julian Francis Miller