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» A Taxonomy of Hybrid Metaheuristics
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GECCO
2009
Springer
103views Optimization» more  GECCO 2009»
15 years 2 months ago
Using performance fronts for parameter setting of stochastic metaheuristics
In this work, we explore the idea that parameter setting of stochastic metaheuristics should be considered as a multiobjective problem. The so-called “performance fronts” pres...
Johann Dréo
IPPS
1998
IEEE
15 years 1 months ago
Meta-heuristics for Circuit Partitioning in Parallel Test Generation
In this communication Simulated Annealing and Genetic Algorithms, are applied to the graph partitioning problem. These techniques mimic processes in statistical mechanics and biol...
Consolación Gil, Julio Ortega, Antonio F. D...
JPDC
2006
133views more  JPDC 2006»
14 years 9 months ago
Grid computing for parallel bioinspired algorithms
This paper focuses on solving large size combinatorial optimization problems using a Grid-enabled framework called ParadisEO
Nouredine Melab, Sébastien Cahon, El-Ghazal...
GECCO
2007
Springer
196views Optimization» more  GECCO 2007»
15 years 3 months ago
An estimation of distribution algorithm with guided mutation for a complex flow shop scheduling problem
An Estimation of Distribution Algorithm (EDA) is proposed to approach the Hybrid Flow Shop with Sequence Dependent Setup Times and Uniform Machines in parallel (HFSSDST-UM) proble...
Abdellah Salhi, José Antonio Vázquez...
HM
2005
Springer
98views Optimization» more  HM 2005»
15 years 3 months ago
A Hybrid GRASP with Data Mining for the Maximum Diversity Problem
Abstract. The maximum diversity problem (MDP) consists in identifying, in a population, a subset of elements, characterized by a set of attributes, that present the most diverse ch...
L. F. Santos, Marcos Henrique Ribeiro, Alexandre P...