CIVILICA We Respect the Science
(ناشر تخصصی کنفرانسهای کشور / شماره مجوز انتشارات از وزارت فرهنگ و ارشاد اسلامی: ۸۹۷۱)

Attractive-Repulsive System of Charged Particles for Global Optimization

عنوان مقاله: Attractive-Repulsive System of Charged Particles for Global Optimization
شناسه ملی مقاله: ICIORS16_254
منتشر شده در شانزدهمین کنفرانس بین المللی انجمن ایرانی تحقیق در عملیات در سال 1402
مشخصات نویسندگان مقاله:

Mohsen Shahrouzi - Faculty of Engineering, Kharazmi University, Karaj, Iran

خلاصه مقاله:
Global optimization is a challenging issue with affordable practical merits in various fields including operations research. Application of meta-heuristics for such a field is investigated by many researchers due to complex nature of such constrained problems. In this regard, providing proper diversity in the population of search agents is targeted here. An attractive-repulsive variant of charged system search, is developed based on its special switching rules and artificial force definitions. The pressure vessel design is treated as a mixed discrete-continuous benchmark problem. It is solved by several runs of both the standard and newly developed variants of the charged system search to evaluate effectiveness of the proposed enhancement via performance measures.

کلمات کلیدی:
Meta-heuristic Algorithm, Global Optimization, Constrained Problem, Charged System Search.

صفحه اختصاصی مقاله و دریافت فایل کامل: https://civilica.com/doc/1920670/