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» An evolutionary method for complex-process optimization
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118
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GECCO
2011
Springer
264views Optimization» more  GECCO 2011»
14 years 4 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
95
Voted
GECCO
2009
Springer
157views Optimization» more  GECCO 2009»
15 years 7 months ago
Multi material topological optimization of structures and mechanisms
Multi-material 3D-printing technologies permit the freeform fabrication of complex spatial arrangements of materials in arbitrary geometries. This technology has opened the door t...
Jonathan D. Hiller, Hod Lipson
GECCO
2007
Springer
157views Optimization» more  GECCO 2007»
15 years 6 months ago
Global multiobjective optimization via estimation of distribution algorithm with biased initialization and crossover
Multiobjective optimization problems with many local Pareto fronts is a big challenge to evolutionary algorithms. In this paper, two operators, biased initialization and biased cr...
Aimin Zhou, Qingfu Zhang, Yaochu Jin, Bernhard Sen...
ESCIENCE
2006
IEEE
15 years 6 months ago
Niching for Population-Based Ant Colony Optimization
Most Ant Colony Optimization (ACO) algorithms are able to find a single (or few) optimal, or near-optimal, solutions to difficult (NP-hard) problems. An issue though is that a s...
Daniel Angus
112
Voted
ESWA
2006
165views more  ESWA 2006»
15 years 17 days ago
Optimal ensemble construction via meta-evolutionary ensembles
In this paper we propose a meta-evolutionary approach to improve on the performance of individual classifiers. In the proposed system, individual classifiers evolve, competing to ...
YongSeog Kim, W. Nick Street, Filippo Menczer