New adaptive weight formulations for time-cost optimization

Basit Öğe Kaydı
dc.authoridTR261144en_US
dc.contributor.authorToğan, Vedat
dc.contributor.authorBerberoğlu, Neslihan
dc.contributor.authorBaşağa, Hasan Basri
dc.date.accessioned2020-11-09T06:33:11Z
dc.date.available2020-11-09T06:33:11Z
dc.date.issued2020
dc.departmentAÇÜ, Borçka Acarlar Meslek Yüksekokuluen_US
dc.description.abstractModified Adaptive Weight Approach (MAWA) is one of the simplest methods used for solving time-cost opti-mization problems. This type of optimization problem, categorized as multi-objective optimization, can be solved with metaheuristic algorithms. Here, metaheuristic algorithms evaluate a randomly generated solution set, referred to as population, within the boundary condition of a solution space. The weight factor values determined by MAWA are applied to all solutions in the population without distinguishing the solutions in that population. However, the potential solutions in the population indicate different fitness properties concerning solution space. In this paper to solve time-cost optimization problems, new adaptive weight formulations are proposed. In contrast to MAWA, the novelty of this study’s formulations is to adaptively detect the weight factor value, depending on the solution‘s fitness in the population. The results obtained from the numerical experiments examined in this study show that the proposed formulations can improve the performance of MAWA and can find identical or slightly different Pareto results for investigated multi-objective optimization problems.
dc.identifier.citationToğan, V., Berberoğlu, N., & Başağa, H. B. (2020). New adaptive weight formulations for time-cost optimization. Structures. 28, 2291-2299.en_US
dc.identifier.doi10.1016/j.istruc.2020.10.056
dc.identifier.endpage2299en_US
dc.identifier.scopusqualityQ1
dc.identifier.startpage2291en_US
dc.identifier.urihttps://hdl.handle.net/11494/2427
dc.identifier.volume28en_US
dc.identifier.wosqualityQ2
dc.indekslendigikaynakWeb of Science
dc.indekslendigikaynakScopus
dc.institutionauthorBerberoğlu, Neslihan
dc.language.isoenen_US
dc.publisherElsevieren_US
dc.relation.ispartofStructures
dc.relation.publicationcategoryMakale - Uluslararası Hakemli Dergi - Kurum Öğretim Elemanıen_US
dc.rightsinfo:eu-repo/semantics/closedAccessen_US
dc.subjectMulti-objective optimizationen_US
dc.subjectWeight approachen_US
dc.subjectModified adaptive weight approachen_US
dc.subjectTime-cost optimizationen_US
dc.subjectGenetic algorithmsen_US
dc.titleNew adaptive weight formulations for time-cost optimizationen_US
dc.typeArticle

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