Immune forgetting dynamic multi-objective optimization

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作者：
Institute of Intelligent Information Processing, Xidian University, Xi'an 710071, China [1 ]
机构：
来源：
Harbin Gongcheng Daxue Xuebao | 2006年 / SUPPL.卷 / 205-209期
关键词：
Computer simulation - Immunology - Optimization;
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摘要：
Clonal Selection Algorithm for Dynamic Multiobjective Optimization (CSADMO) is a relatively new technique for finding or approximating the Pareto-optimal front every time there is a change in for dynamic multiobjective optimization problems. CSADMO has shown good performance in both the convergence and diversity of obtained solutions in comparison to another dynamic multiobjective optimization Algorithm: A Direction-Based Method (DBM). In this paper, based on the artificial immune system and the dynamic process of immune response, a new dynamic multiobjective optimization algorithm termed as Immune Forgetting dynamic multiobjective optimization (IFDMO) is proposed. Simulation results of the IFDMO on four test problems are compared with CSADMO and much better performance in both the convergence and diversity of obtained solutions of CSADMO is observed.
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