کد مقاله | کد نشریه | سال انتشار | مقاله انگلیسی | نسخه تمام متن |
---|---|---|---|---|
6903079 | 1446749 | 2018 | 11 صفحه PDF | دانلود رایگان |
عنوان انگلیسی مقاله ISI
Improved Raven Roosting Optimization algorithm (IRRO)
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موضوعات مرتبط
مهندسی و علوم پایه
مهندسی کامپیوتر
علوم کامپیوتر (عمومی)
پیش نمایش صفحه اول مقاله
چکیده انگلیسی
Optimization means finding the best solution from among an infinite number of possible solutions to a complex problem. Several methods are generally used for solving complex problems, such as meta-heuristic algorithms that are inspired from living organisms. Raven Roosting Optimization (RRO) is an algorithm inspired by the mimicking behavior of ravens but it has the problem of premature convergence. This paper provides an expansion of RRO algorithm namely IRRO to resolve the problem. It focuses on a population that follows the leader and divides the population into groups of weak ravens and greedy ravens. It also uses a parameter to control the amount of food remaining for the ravens. This is then extended by comparison of the proposed algorithm to RRO, Particle Swarm Optimization (PSO) approach Bat algorithm (BA), Chicken Swarm Optimization (CSO), Grey Wolf Optimization (GWO), Whale Optimization Algorithm (WOA). The experimental results on 30 standard benchmark functions how the improvement of the proposed algorithm compared to RRO, PSO, BA, CSO, GWO and WOA algorithms.
ناشر
Database: Elsevier - ScienceDirect (ساینس دایرکت)
Journal: Swarm and Evolutionary Computation - Volume 40, June 2018, Pages 144-154
Journal: Swarm and Evolutionary Computation - Volume 40, June 2018, Pages 144-154
نویسندگان
Shadi Torabi, Faramarz Safi-Esfahani,