[Home ] [Archive]   [ فارسی ]  
:: Main :: About :: Current Issue :: Archive :: Search :: Submit :: Contact ::
:: Volume 7, Issue 14 (12-2020) ::
عصر برق 2020, 7(14): 27-36 Back to browse issues page
New metaheuristic algorithms
Abstract:   (385 Views)
Abstract - The complexity of mathematical models, exponential growth of the solution time for many methods, lack of access to gradient information and optimal local convergence are some of the problems that optimal classical algorithms face in solving complex problems. In order to eliminate these drawbacks, metaheuristic algorithms are widely used to solve complex and multivariate problems. Choosing the best and most suitable algorithm is difficult due to their high diversity. In previous studies, some of these methods have been summarized, but due to overpublicize of these methods in recent years, there is no specific article to describe and compare all of these methods. In this paper, the most important metaheuristic optimization algorithms are introduced from 2012 till now. In separate sections for each algorithm, the history, source of inspiration, objective function and number of its setting parameters are stated. These algorithms are then categorized and compared using several theories. Due to the type of application of each algorithm in engineering problems, it is not possible to introduce a single algorithm as the best methodology, but the Gray Wolf Optimization (GWO) algorithm is one of the algorithms with a high number of citations in recent years.
Keywords: Optimization, Metaheuristic algorithms, Evolution, Particle swarm optimization
Full-Text [PDF 957 kb]   (374 Downloads)    
Type of Study: Scientific-extension | Subject: Special
Received: 2021/03/14 | Accepted: 2020/12/20 | Published: 2020/12/20
Add your comments about this article
Your username or Email:

CAPTCHA


XML   Persian Abstract   Print


Download citation:
BibTeX | RIS | EndNote | Medlars | ProCite | Reference Manager | RefWorks
Send citation to:

New metaheuristic algorithms. عصر برق. 2020; 7 (14) :27-36
URL: http://kiaeee.ir/article-1-284-en.html


Rights and permissions
Creative Commons License This work is licensed under a Creative Commons Attribution-NonCommercial 4.0 International License.
Volume 7, Issue 14 (12-2020) Back to browse issues page
نشریه عصر برق - انجمن مهندسین برق و الکترونیک ایران - شاخه خراسان Khorasan Iranian Association of Electrical and Electronics Engineers (kiaeee)
Persian site map - English site map - Created in 0.04 seconds with 30 queries by YEKTAWEB 4331