Hybrid methods in multi-criteria dynamic programming
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摘要
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.
论文关键词:Multi-criteria optimization,Dynamic programming,Genetic algorithm,Ant systems,Hybrid algorithms
论文评审过程:Available online 30 January 2006.
论文官网地址:https://doi.org/10.1016/j.amc.2005.11.164