Interactive search algorithm: A new hybrid metaheuristic optimization algorithm

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dc.contributor.authorMortazavi, Ali
dc.contributor.authorTogan, Vedat
dc.contributor.authorNuhoglu, Ayhan
dc.date.accessioned2019-10-27T10:05:50Z
dc.date.available2019-10-27T10:05:50Z
dc.date.issued2018
dc.departmentEge Üniversitesien_US
dc.description.abstractIn this paper, a new hybrid optimization algorithm, called "Interactive Search Algorithm (ISA)" is proposed for the solution of the optimization problems. This algorithm modifies and combines affirmative features of two developed metaheuristic methods called Integrated Particle Swarm Optimization (iPSO) and Teaching and Learning Based Optimization (TLBO). ISA consists of two separate paradigms: (i) Tracking and (ii) Interacting. Tracking paradigm utilizes the information stored in the current agent's memory and two other important agents, the weighted and best agents, to guide the colony. On the other hand, interacting paradigm provides a pairwise interaction between agents to share their knowledge with each other. Each agent based on its tendency factor employs one of these two paradigms in each cycle of ISA to explore the search space. Additionally, rather than conventional penalty approach, ISA utilizes the improved fly-back approach to handle problem constraints. The search capability of the proposed method is tested on the number benchmark mathematical functions and constrained mechanical design problems as the real-world examples. Consequently, the achieved numerical results demonstrate that the proposed method is competitive with other well-established metaheuristic methods.en_US
dc.identifier.doi10.1016/j.engappai.2018.03.003
dc.identifier.endpage292en_US
dc.identifier.issn0952-1976
dc.identifier.issn1873-6769
dc.identifier.issn0952-1976en_US
dc.identifier.issn1873-6769en_US
dc.identifier.scopusqualityN/Aen_US
dc.identifier.startpage275en_US
dc.identifier.urihttps://doi.org/10.1016/j.engappai.2018.03.003
dc.identifier.urihttps://hdl.handle.net/11454/30394
dc.identifier.volume71en_US
dc.identifier.wosWOS:000436213000022en_US
dc.identifier.wosqualityQ1en_US
dc.indekslendigikaynakWeb of Scienceen_US
dc.indekslendigikaynakScopusen_US
dc.language.isoenen_US
dc.publisherPergamon-Elsevier Science Ltden_US
dc.relation.ispartofEngineering Applications of Artificial Intelligenceen_US
dc.relation.publicationcategoryMakale - Uluslararası Hakemli Dergi - Kurum Öğretim Elemanıen_US
dc.rightsinfo:eu-repo/semantics/closedAccessen_US
dc.subjectHybrid optimization algorithmen_US
dc.subjectMetaheuristicsen_US
dc.subjectIntegrated particle swarm optimizationen_US
dc.subjectTeaching and learning based optimizationen_US
dc.subjectNumerical functionsen_US
dc.subjectMechanical design problemen_US
dc.titleInteractive search algorithm: A new hybrid metaheuristic optimization algorithmen_US
dc.typeArticleen_US

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