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Hybrid methods in multi-criteria dynamic programming
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DOI：10.1016/j.amc.2005.11.164.png)
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The paper presents multi-criteria discrete dynamic process consisting of finite states and decision variables. The outcomes of the period criteria function are in the vector valued space. The hybrid algorithms which use ant and genetic algorithms together with the Bellman's principle of optimality are presented. There are numerical results presented for six proposed algorithms in order to verify the developed algorithms. (c) 2006 Elsevier Inc. All rights reserved.
Keyword:
multi-criteria optimization
dynamic programming
genetic algorithm
ant systems
hybrid algorithms
期刊
IF:
3.4
论文数:
2.3W
被引数:
3.3W
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