کد مقاله کد نشریه سال انتشار مقاله انگلیسی نسخه تمام متن
6903136 1446750 2018 41 صفحه PDF دانلود رایگان
عنوان انگلیسی مقاله ISI
A cost-benefit local search coordination in multimeme differential evolution for constrained numerical optimization problems
ترجمه فارسی عنوان
هماهنگی جستوجوی هزینه های محلی در تکامل دیفرانسیل چندمتغیره برای مشکلات بهینه سازی عددی محدود
موضوعات مرتبط
مهندسی و علوم پایه مهندسی کامپیوتر علوم کامپیوتر (عمومی)
چکیده انگلیسی
This paper introduces an adaptive local search coordination for a multimeme Differential Evolution to constrained numerical optimization problems. The proposed approach associates a pool of direct local search operators within the standard Differential Evolution. The coordination mechanism consists of a probabilistic method based on a cost-benefit scheme, and it is aimed to regulate the activation probability of every local search operator during the evolutionary cycle of the global search. Also, the method adopts the ɛ-constrained method as a constraint-handling technique. The proposed approach is tested on thirty-six well-known benchmark problems. Numerical results show that the proposed method is suitable to coordinate a set of local search operators adequately within a memetic scheme for constrained search spaces.
ناشر
Database: Elsevier - ScienceDirect (ساینس دایرکت)
Journal: Swarm and Evolutionary Computation - Volume 39, April 2018, Pages 249-266
نویسندگان
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