会议专题

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 metaheuristics, 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.

combinatorial optimization meta-heuristic algorithm hybrid approach hyper-heuristic multi-agent system

Richard Malek

Department of Cybernetics Faculty of Electrical Engineering Czech Technical University Prague, Czech Republic

国际会议

2010 IEEE International Conference on Intelligent Computing and Intelligent Systems(2010 IEEE 智能计算与智能系统国际会议 ICIS 2010)

厦门

英文

428-434

2010-10-29(万方平台首次上网日期,不代表论文的发表时间)