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

Richard Malek
2010 2010 IEEE International Conference on Intelligent Computing and Intelligent Systems  
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 agents.
doi:10.1109/icicisys.2010.5658624 fatcat:6mp5pqd6x5dpvenoasrq2om4su