کد مقاله کد نشریه سال انتشار مقاله انگلیسی نسخه تمام متن
6883450 1444173 2018 18 صفحه PDF دانلود رایگان
عنوان انگلیسی مقاله ISI
Modified global best artificial bee colony for constrained optimization problems
ترجمه فارسی عنوان
بهترین کلنی مستعمل مصنوعی زنبور عسل برای مشکلات بهینه سازی محدود
کلمات کلیدی
کلنی زنبور عسل مصنوعی، بهینه سازی محدود، مشکل جریان مطلوب جریان، اکتشاف، بهره برداری،
موضوعات مرتبط
مهندسی و علوم پایه مهندسی کامپیوتر شبکه های کامپیوتری و ارتباطات
چکیده انگلیسی
Artificial Bee Colony (ABC) is one of the most popular nature inspired optimization algorithms. Recently, a variant of ABC, Gbest-guided ABC (GABC) was proposed. GABC was verified to perform better than ABC, in terms of efficiency and reliability. In the position update process of GABC, Gbest (the best individual in the swarm) individual influences the movement of the swarm. This movement may create a cluster around the Gbest individual which further leads to the premature convergence, particularly for constrained optimization problems. This paper presents a modification in GABC for constrained optimization problems. GABC is modified in both employed and onlooker bee phases by incorporating the concept of fitness probability based individual movement. The modified GABC is tested over 20 constrained benchmark problems and applied to solve 3 engineering design problems. Optimal power flow problem has also been solved using modified GABC to check the efficiency of the proposed algorithm.
ناشر
Database: Elsevier - ScienceDirect (ساینس دایرکت)
Journal: Computers & Electrical Engineering - Volume 67, April 2018, Pages 365-382
نویسندگان
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