کد مقاله کد نشریه سال انتشار مقاله انگلیسی نسخه تمام متن
494108 723955 2014 17 صفحه PDF دانلود رایگان
عنوان انگلیسی مقاله ISI
Population-based metaheuristics for continuous boundary-constrained dynamic multi-objective optimisation problems
موضوعات مرتبط
مهندسی و علوم پایه مهندسی کامپیوتر علوم کامپیوتر (عمومی)
پیش نمایش صفحه اول مقاله
Population-based metaheuristics for continuous boundary-constrained dynamic multi-objective optimisation problems
چکیده انگلیسی

Most real-world optimisation problems are dynamic in nature with more than one objective, where at least two of these objectives are in conflict with one another. This kind of problems is referred to as dynamic multi-objective optimisation problems (DMOOPs). Most research in multi-objective optimisation (MOO) have focussed on static MOO (SMOO) and dynamic single-objective optimisation. However, in recent years, algorithms were proposed to solve dynamic MOO (DMOO). This paper provides an overview of the algorithms that were proposed in the literature to solve DMOOPs. In addition, challenges, practical aspects and possible future research directions of DMOO are discussed.

ناشر
Database: Elsevier - ScienceDirect (ساینس دایرکت)
Journal: Swarm and Evolutionary Computation - Volume 14, February 2014, Pages 31–47
نویسندگان
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