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» A Least-Certainty Heuristic for Selective Search
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GECCO
2010
Springer
176views Optimization» more  GECCO 2010»
13 years 11 months ago
A hierarchical cooperative evolutionary algorithm
To successfully search multiple coadaptive subcomponents in a solution, we developed a novel cooperative evolutionary algorithm based on a new computational multilevel selection f...
Shelly Xiaonan Wu, Wolfgang Banzhaf
GECCO
2006
Springer
201views Optimization» more  GECCO 2006»
14 years 22 days ago
Selective self-adaptive approach to ant system for solving unit commitment problem
This paper presents a novel approach to solve the constrained unit commitment problem using Selective Self-Adaptive Ant System (SSAS) for improving search performance by automatic...
Songsak Chusanapiputt, Dulyatat Nualhong, Sujate J...
WEA
2004
Springer
129views Algorithms» more  WEA 2004»
14 years 2 months ago
Experimental Comparison of Greedy Randomized Adaptive Search Procedures for the Maximum Diversity Problem
Abstract. The maximum diversity problem (MDP) consists of identifying optimally diverse subsets of elements from some larger collection. The selection of elements is based on the d...
Geiza C. Silva, Luiz Satoru Ochi, Simone L. Martin...
INFFUS
2010
104views more  INFFUS 2010»
13 years 6 months ago
A selection approach for scalable fuzzy integral combination
We consider the problem of collective decision-making from an arbitrary set of classifiers under Sugeno fuzzy integral (S-FI). We assume that classifiers are given, i.e., they can...
Pilar Bulacio, Serge Guillaume, Elizabeth Tapia, L...
JUCS
2008
159views more  JUCS 2008»
13 years 9 months ago
Two Step Swarm Intelligence to Solve the Feature Selection Problem
: In this paper we propose a new approach to Swarm Intelligence called Two-Step Swarm Intelligence. The basic idea is to split the heuristic search performed by agents into two sta...
Yudel Gómez, Rafael Bello, Amilkar Puris, M...