دانلود مقاله ISI انگلیسی شماره 137913
ترجمه فارسی عنوان مقاله

الگوریتم تکاملی چند هدفه با شاخص تجزیه و تحلیل بر اساس تجزیه

عنوان انگلیسی
A decomposition-based multi-objective evolutionary algorithm with quality indicator
کد مقاله سال انتشار تعداد صفحات مقاله انگلیسی
137913 2018 17 صفحه PDF
منبع

Publisher : Elsevier - Science Direct (الزویر - ساینس دایرکت)

Journal : Swarm and Evolutionary Computation, Volume 39, April 2018, Pages 339-355

ترجمه کلمات کلیدی
محاسبات تکاملی، بهینه سازی چند هدفه، تنوع الگوریتم، تجزیه، شاخص مبتنی بر،
کلمات کلیدی انگلیسی
Evolutionary computations; Multi-objective optimization; Algorithm diversity; Decomposition; Indicator-based;
پیش نمایش مقاله
پیش نمایش مقاله  الگوریتم تکاملی چند هدفه با شاخص تجزیه و تحلیل بر اساس تجزیه

چکیده انگلیسی

The issue of integrating preference information into multi-objective optimization is considered, and a multi-objective framework based on decomposition and preference information, called indicator-based MOEA/D (IBMOEA/D), is presented in this study to handle the multi-objective optimization problems more effectively. The proposed algorithm uses a decomposition-based strategy for evolving its working population, where each individual represents a subproblem, and utilizes a binary quality indicator-based selection for maintaining the external population. Information obtained from the quality improvement of individuals is used to determine which subproblem should be invested at each generation by a power law distribution probability. Thus, the indicator-based selection and the decomposition strategy can complement each other. Through the experimental tests on seven many-objective optimization problems and one discrete combinatorial optimization problem, the proposed algorithm is revealed to perform better than several state-of-the-art multi-objective evolutionary algorithms. The effectiveness of the proposed algorithm is also analyzed in detail.