دانلود مقاله ISI انگلیسی شماره 142812
ترجمه فارسی عنوان مقاله

یک بررسی جامع در مورد الگوریتم جستجو گرانشی

عنوان انگلیسی
A comprehensive survey on gravitational search algorithm
کد مقاله سال انتشار تعداد صفحات مقاله انگلیسی
142812 2018 18 صفحه PDF
منبع

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

Journal : Swarm and Evolutionary Computation, Available online 3 March 2018

پیش نمایش مقاله
پیش نمایش مقاله  یک بررسی جامع در مورد الگوریتم جستجو گرانشی

چکیده انگلیسی

Gravitational Search Algorithm (GSA) is an optimization method inspired by the theory of Newtonian gravity in physics. Till now, many variants of GSA have been introduced, most of them are motivated by gravity-related theories such as relativity and astronomy. On the one hand, to solve different kinds of optimization problems, modified versions of GSA have been presented such as continuous (real), binary, discrete, multimodal, constraint, single-objective, and multi-objective GSA. On the other hand, to tackle the difficulties in real-world problems, the efficiency of GSA has been improved using specialized operators, hybridization, local search, and designing the self-adaptive algorithms. Researchers have utilized GSA to solve various engineering optimization problems in diverse fields of applications ranging from electrical engineering to bioinformatics. Here, we discussed a comprehensive investigation of GSA and a brief review of GSA developments in solving different engineering problems to build up a global picture and to open the mind to explore possible applications. We also made a number of suggestions that can be undertaken to help move the area forward.