An agent-based hyper-heuristic approach to combinatorial optimization problems

This paper introduces a framework based on multi-agent system for solving problems of combinatorial optimization. The framework allows running various meta-heuristic algorithms simultaneously. By the collaboration of various meta-heuristics, we can achieve better results in more classes of problems....

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Bibliographic Details
Published in2010 IEEE International Conference on Intelligent Computing and Intelligent Systems Vol. 3; pp. 428 - 434
Main Author Malek, Richard
Format Conference Proceeding
LanguageEnglish
Published IEEE 01.10.2010
Subjects
combinatorial optimization
Genetic algorithms
Genotypes
Heuristic algorithms
hybrid approach
hyper-heuristic
meta-heuristic algorithm
Metaheuristics
multi-agent system
Multi-agent systems
Oral communication
Phenotypes
Search problems
Sequential analysis
Space exploration
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ISBN9781424465828
1424465826
DOI10.1109/ICICISYS.2010.5658624

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Summary:This paper introduces a framework based on multi-agent system for solving problems of combinatorial optimization. The framework allows running various meta-heuristic algorithms simultaneously. By the collaboration of various meta-heuristics, we can achieve better results in more classes of problems. Our hyper-heuristic approach is defined as a high-level search in algorithm space implemented within multi-agent system.
ISBN:9781424465828
1424465826
DOI:10.1109/ICICISYS.2010.5658624