한국지능시스템학회:학술대회논문집 (Proceedings of the Korean Institute of Intelligent Systems Conference)
- 한국퍼지및지능시스템학회 2003년도 ISIS 2003
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- Pages.175-178
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- 2003
Priority-based Genetic Algorithm for Bicriteria Network Optimization Problem
- Gen, Mitsuo (Graduate School of Information, Production ＆ Systems, Waseda University) ;
- Lin, Lin (Graduate School of Information, Production ＆ Systems, Waseda University) ;
- Cheng, Runwei (JANA Solutions Co.)
- 발행 : 2003.09.01
초록
In recent years, several researchers have presented the extensive research reports on network optimization problems. In our real life applications, many important network problems are typically formulated as a Maximum flow model (MXF) or a Minimum Cost flow model (MCF). In this paper, we propose a Genetic Algorithm (GA) approach used a priority-based chromosome for solving the bicriteria network optimization problem including MXF and MCF models(MXF/MCF).
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