کد مقاله کد نشریه سال انتشار مقاله انگلیسی نسخه تمام متن
4633767 1340679 2008 13 صفحه PDF دانلود رایگان
عنوان انگلیسی مقاله ISI
An evolutionary algorithm for dynamic multi-objective optimization
موضوعات مرتبط
مهندسی و علوم پایه ریاضیات ریاضیات کاربردی
پیش نمایش صفحه اول مقاله
An evolutionary algorithm for dynamic multi-objective optimization
چکیده انگلیسی

In this paper, the dynamic multi-objective optimization problem (DMOP) is first approximated by a series of static multi-objective optimization problems (SMOPs) by dividing the time period into several equal subperiods. In each subperiod, the dynamic multi-objective optimization problem is seen as a static multi-objective optimization problem by taking the time parameter fixed. Then, to decrease the amount of computation and efficiently solve the static problems, each static multi-objective optimization problem is transformed into a two-objective optimization problem based on two re-defined objectives. Finally, a new crossover operator and mutation operator adapting to the environment changing are designed. Based on these techniques, a new evolutionary algorithm is proposed. The simulation results indicate that the proposed algorithm can effectively track the varying Pareto fronts with time.

ناشر
Database: Elsevier - ScienceDirect (ساینس دایرکت)
Journal: Applied Mathematics and Computation - Volume 205, Issue 1, 1 November 2008, Pages 6–18
نویسندگان
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