Application of Arithmetic Optimization Algorithm (AOA) for Time–Cost–Quality–Environmental Impact Optimization in Construction Projects

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This study aims to investigate the relationship between time, cost, quality, and environmental impact in construction projects using arithmetic optimization algorithm. Project managers have prioritized time and cost concepts in traditional project planning. It is seen that other factors affecting the success of the project are ignored. However, with the impact of technological and sociocultural changes, awareness of sustainability and environmental factors has increased. For this reason, there are studies showing that environmental impact is taken into account at least as much as time, cost, and quality in project management. Therefore, this study evaluates the performance of the arithmetic optimization algorithm (AOA) on the many-objective time–cost–quality–environmental impact problem. The performance of the AOA was compared with the adaptive selection slime mold algorithm (ASSMA), which is known to give good results in the literature. The results show that the AOA outperforms the ASSMA in terms of cost, environmental impact, and quality with 25% less function evaluation. © The Author(s), under exclusive license to Springer Nature Singapore Pte Ltd. 2026.

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dc.contributor.authorYılmaz, Mehmet
dc.contributor.authorDede, Tayfun
dc.contributor.authorRao, Ravipudi Venkata
dc.contributor.editorR.V., Rao
dc.contributor.editorJ., Taler
dc.contributor.editorD., Taler
dc.date.accessioned2026-10-18T20:25:25.919634277Z
dc.date.available2026-10-18T20:25:25.919634277Z
dc.date.issued2026
dc.description.abstractThis study aims to investigate the relationship between time, cost, quality, and environmental impact in construction projects using arithmetic optimization algorithm. Project managers have prioritized time and cost concepts in traditional project planning. It is seen that other factors affecting the success of the project are ignored. However, with the impact of technological and sociocultural changes, awareness of sustainability and environmental factors has increased. For this reason, there are studies showing that environmental impact is taken into account at least as much as time, cost, and quality in project management. Therefore, this study evaluates the performance of the arithmetic optimization algorithm (AOA) on the many-objective time–cost–quality–environmental impact problem. The performance of the AOA was compared with the adaptive selection slime mold algorithm (ASSMA), which is known to give good results in the literature. The results show that the AOA outperforms the ASSMA in terms of cost, environmental impact, and quality with 25% less function evaluation. © The Author(s), under exclusive license to Springer Nature Singapore Pte Ltd. 2026.
dc.identifier.doi10.1007/978-981-96-8070-2_27
dc.identifier.endpage344
dc.identifier.isbn978-981968069-6
dc.identifier.issn1876-1100
dc.identifier.scopus2-s2.0-105020891476
dc.identifier.startpage333
dc.identifier.urihttps://rdlopen.rawdatalibrary.net/r/ebyu/10172
dc.identifier.volume1438 LNEE
dc.language.isoen
dc.publisherSpringer Science and Business Media Deutschland GmbH
dc.relation.ispartofLecture Notes in Electrical Engineering
dc.rightsinfo:eu-repo/semantics/openAccess
dc.subjectArithmetic optimization algorithm
dc.subjectMany-objective optimization
dc.subjectTime–cost–quality–environmental impact trade-off
dc.subjectCosts
dc.subjectEnvironmental impact
dc.subjectFunction evaluation
dc.subjectProject management
dc.subjectQuality control
dc.subjectSustainable development
dc.subjectAdaptive selection
dc.subjectConstruction projects
dc.subjectMany-objective optimizations
dc.subjectOptimization algorithms
dc.subjectPerformance
dc.subjectSlime moulds
dc.subjectTime cost
dc.subjectTrade off
dc.subjectEconomic and social effects
dc.titleApplication of Arithmetic Optimization Algorithm (AOA) for Time–Cost–Quality–Environmental Impact Optimization in Construction Projects
dc.typeConference Object
dspace.entity.typePublication
rdl.citation.scopus0
rdl.source.indexSCOPUS