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International Computer Science and Engineering Society (ICSES) |
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International Transactions on Evolutionary and Metaheuristic Algorithms
Vol. 3, No. 1, Dec. 2017  Cuckoo Optimization Algorithm (COA) and Its Applications | Special Issue Proposal
Hamid Reza Boveiri a,
 , Tribeni Prasad Banerjee ba Sama College, IAU, Shoushtar Branch, Shoushtar, Iran b Dr. B. C. Roy Engineering College, Durgapur, India 
 Life Member
Highlights and Novelties
2. Secondly, to investigate proper industrial and engineering applications better matched with characteristics of this metaheuristic. 3. Thirdly, as an outstanding resource and reference on this algorithm and its application. Manuscript Abstract
Most of the combinatorial optimization problems in Engineering and Industry are of such problems cannot be solved using heuristics or exact methods in an efficient way. Meanwhile, another interesting paradigm inspired by biology and artificial life was introduced named Metaheuristics with significant power and potential to cope with such difficult problems. Particle Swarm Optimization (PSO), Ant colony Optimization (ACO), Artificial Bee Colony (ABC), Shuffled Frog Leaping (SFL), Biogeography-Based Optimization (BBO), Teaching-Learning-Based Optimization (TLBO) are considered as some of these metaheuristics. Cuckoo Optimization Algorithm (COA) is also a newly proposed swarm-intelligence-based metaheuristic algorithm first introduced by Rajabioun in 2011, inspired from the exotic lifestyle of a bird family called cuckoo. Indeed, specific egg-laying and breeding characteristics of cuckoos called parasite-brooding is the basis of constituting this novel optimization algorithm. To the best of our knowledge, this metaheuristic algorithm has not been attended and studied a lot since its first introduction in 2011, and a few applications of it on well-known industrial and engineering problems have been reported in the literature so far; hence, we believe that this Special Issue will be going to be an outstanding Resource and Reference on this algorithm and its application. Keywords
Artificial Intelligence Cuckoo Optimization Algorithm (COA) Metaheuristics Optimization Engineering Optimization Problems. Copyright
© Copyright was transferred to International Computer Science and Engineering Society (ICSES) by all the Authors. Cite this manuscript as
Hamid Reza Boveiri, Tribeni Prasad Banerjee, "Cuckoo Optimization Algorithm (COA) and Its Applications," International Transactions on Evolutionary and Metaheuristic Algorithms (ITEMA), vol. 3, no. 1, pp. 1-3, Dec. 2017. For External Scientific Databeses
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Corresponding Author
Affiliation: Sama College, IAU, Shoushtar Branch, Shoushtar, Iran
Tel: +989163073004
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Biography: Hamid Reza Boveiri received his A.Sc. degree from Shahid Chamran University of Ahvaz, Ahvaz, Iran, in 2002, B.Sc. degree from Birjand University, Birjand, Iran, in 2005, M.Sc. degree from IAU, Science and Research Branch, Ahvaz, Iran, in 2009, all in Software Engineering, and Ph.D. in Shiraz University of Technology, Shiraz, Iran, in Information Technology (IT), on Image-guided Intervention Using Deep Neural Networks. He is a tenured faculty member of Computer Engineering Department at Sama College, IAU, Shoushtar Branch, Shoushtar, Iran. He had been serving as the Dean of IAU, Gotvand Branch, Iran, from 2014 up to 2016. He was also a member of Young Researchers & Elites Club of IAU, Shoushtar Branch, where he was the Head Advisor of “Research Workgroup” during 2010-2012. He is the Editor and Reviewer for many prestigious journals of Elsevier, Springer, Taylor & Francis, and Wiley publications, and evolved in holding a number of events as a member of executive or technical committee situated him at the top 99th percentile of reviewers in computer science based on Publons. He has already published a large number of research articles, surveys and technical reports in the reputed national and international conferences and journals. His research interests include Scheduling & Optimization, Machine Learning & Meta-heuristics, Medical Image Processing and Pattern Recognition. He is the founder of ICSES (International Computer Science and Engineering Society), and a member of ISI (Information Society of Iran) and IEEE.
No. of Downloads: 833
No. of Visits: 3414
Manuscript ID: 63
Pages: 1-3
Submitted: 2017-09-09
Accepted: 2017-09-10
Published: 2017-12-15
ISSN: 2467-291X Frequency: Biannually Accessability: Online - Open Access
Founded in: Mar. 2015 Publisher: ICSES
DOI Suffix: 10.31424/icses.itema
