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Improved Cuckoo Search algorithmic variants for constrained nonlinear optimization

Tsipianitis Alexandros, Tsompanakis Ioannis

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URIhttp://purl.tuc.gr/dl/dias/1C5C471B-711C-4B8C-9C23-603107EC931C-
Identifierhttps://doi.org/10.1016/j.advengsoft.2020.102865-
Identifierhttps://www.sciencedirect.com/science/article/pii/S0965997819308439-
Languageen-
Extent15 pagesen
TitleImproved Cuckoo Search algorithmic variants for constrained nonlinear optimizationen
CreatorTsipianitis Alexandrosen
CreatorΤσιπιανιτης Αλεξανδροςel
CreatorTsompanakis Ioannisen
CreatorΤσομπανακης Ιωαννηςel
PublisherElsevieren
Content SummaryAlthough Cuckoo Search (CS) is a quite new nature-inspired metaheuristic optimization algorithm, it has been extensively used in engineering applications, since it has been proven very efficient in solving complex nonlinear problems. In this paper, efficient modifications have been made to the original CS algorithm to enhance its efficiency and robustness. More specifically, constant parameters of the algorithm, such as the probability of the alien egg being discovered by the host bird and the step size of Levy flights have been dynamically tuned. In addition, static and dynamic penalty functions are introduced within the optimization formulation. Finally, a hybrid optimization approach is developed to combine the advantages of CS with those of Bird Swarm Algorithm (BSA). Benchmark problems, widely used in relevant studies, have been solved and the obtained solutions are compared with those previously reported using the standard CS algorithm and other popular evolutionary optimization techniques (i.e., Genetic Algorithms, Particle Swarm Optimization, etc.).en
Type of ItemPeer-Reviewed Journal Publicationen
Type of ItemΔημοσίευση σε Περιοδικό με Κριτέςel
Licensehttp://creativecommons.org/licenses/by/4.0/en
Date of Item2021-12-24-
Date of Publication2020-
SubjectStructural optimizationen
SubjectNonlinear constraintsen
SubjectDynamic penaltyen
SubjectSwarm intelligenceen
SubjectEvolutionary optimizersen
SubjectCuckoo Search (CS)en
SubjectBenchmark problemsen
Bibliographic CitationA. Tsipianitis and Y. Tsompanakis, “Improved Cuckoo Search algorithmic variants for constrained nonlinear optimization,” Adv. Eng. Softw., vol. 149, Nov. 2020. doi: 10.1016/j.advengsoft.2020.102865en

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