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WEA
2004
Springer
120views Algorithms» more  WEA 2004»
13 years 10 months ago
An Improved Time-Sensitive Metaheuristic Framework for Combinatorial Optimization
We introduce a metaheuristic framework for combinatorial optimization. Our framework is similar to others (e.g. [1]) in that it is modular enough that important components can be i...
Vinhthuy T. Phan, Steven Skiena
HOLOMAS
2009
Springer
13 years 2 months ago
Collaboration of Metaheuristic Algorithms through a Multi-Agent System
Abstract. This paper introduces a framework based on multi-agent system for solving problems of combinatorial optimization. The framework allows running various metaheuristic algor...
Richard Malek
GECCO
2006
Springer
137views Optimization» more  GECCO 2006»
13 years 8 months ago
Structure and metaheuristics
Metaheuristics have often been shown to be effective for difficult combinatorial optimization problems. The reason for that, however, remains unclear. A framework for a theory of ...
Yossi Borenstein, Riccardo Poli
AUSAI
2005
Springer
13 years 6 months ago
Understanding the Pheromone System Within Ant Colony Optimization
Abstract. Ant Colony Optimization (ACO) is a collection of metaheuristics inspired by foraging in ant colonies, whose aim is to solve combinatorial optimization problems. We identi...
Stephen Gilmour, Mark Dras
JPDC
2006
133views more  JPDC 2006»
13 years 4 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...