Maximally diverse grouping problem;
Steady-state genetic algorithm;
Crossover;
Replacement strategy;
Local search;
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摘要:
This paper presents a new hybrid approach (N\documentclass[12pt]{minimal}
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\begin{document}$$\mathcal {N}$$\end{document}SGGA) combining steady-state grouping genetic algorithm with a local search for the maximally diverse grouping problem (MDGP) related to equal group-size. The MDGP is a well-known NP\documentclass[12pt]{minimal}
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\begin{document}$$\mathcal {NP}$$\end{document}-Hard combinatorial optimization problem and finds numerous applications in real world. N\documentclass[12pt]{minimal}
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\begin{document}$$\mathcal {N}$$\end{document}SGGA employs particularly (a) crossover operator (b) the effective way of utilization of local search and (c) the additional replacement strategy, making it different from the existing genetic algorithm for the MDGP. On a set of large benchmark instances, N\documentclass[12pt]{minimal}
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\begin{document}$$\mathcal {N}$$\end{document}SGGA is competitive in comparison to the existing best-known approaches in the literature and performs particularly well on large-size instances. Some important ingredients of N\documentclass[12pt]{minimal}
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\begin{document}$$\mathcal {N}$$\end{document}SGGA that shed some light on the adequacy of N\documentclass[12pt]{minimal}
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\begin{document}$$\mathcal {N}$$\end{document}SGGA are analyzed.
机构:
Northeastern Univ, Shenyang, Peoples R ChinaShanghai Univ Finance & Econ, Dept Informat Management & Engn, Shanghai 200433, Peoples R China
Fan, Z. P.
Chen, Y.
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机构:
Shanghai Univ Finance & Econ, Dept Informat Management & Engn, Shanghai 200433, Peoples R ChinaShanghai Univ Finance & Econ, Dept Informat Management & Engn, Shanghai 200433, Peoples R China
Chen, Y.
Ma, J.
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机构:
City Univ Hong Kong, Kowloon, Hong Kong, Peoples R ChinaShanghai Univ Finance & Econ, Dept Informat Management & Engn, Shanghai 200433, Peoples R China
Ma, J.
Zeng, S.
论文数: 0引用数: 0
h-index: 0
机构:
Univ Arizona, Tucson, AZ 85721 USAShanghai Univ Finance & Econ, Dept Informat Management & Engn, Shanghai 200433, Peoples R China
机构:
Northeastern Univ, Shenyang, Peoples R ChinaShanghai Univ Finance & Econ, Dept Informat Management & Engn, Shanghai 200433, Peoples R China
Fan, Z. P.
Chen, Y.
论文数: 0引用数: 0
h-index: 0
机构:
Shanghai Univ Finance & Econ, Dept Informat Management & Engn, Shanghai 200433, Peoples R ChinaShanghai Univ Finance & Econ, Dept Informat Management & Engn, Shanghai 200433, Peoples R China
Chen, Y.
Ma, J.
论文数: 0引用数: 0
h-index: 0
机构:
City Univ Hong Kong, Kowloon, Hong Kong, Peoples R ChinaShanghai Univ Finance & Econ, Dept Informat Management & Engn, Shanghai 200433, Peoples R China
Ma, J.
Zeng, S.
论文数: 0引用数: 0
h-index: 0
机构:
Univ Arizona, Tucson, AZ 85721 USAShanghai Univ Finance & Econ, Dept Informat Management & Engn, Shanghai 200433, Peoples R China