Eine Plattform für die Wissenschaft: Bauingenieurwesen, Architektur und Urbanistik
Eine Plattform für die Wissenschaft: Bauingenieurwesen, Architektur und Urbanistik
Discrete OBNSGA III method-based robust multi-objective scheduling model for civil construction projects
Despite many existing research studies for multi-objective scheduling, the problems of scheduling of large-scale construction projects are not solved with much success due to the many computational complexities. The primary purpose of presented paper is to deliver a discrete opposition-based non-dominated sorting genetic algorithm III (D-OBNSGA III) method-based robust multi-objective scheduling model (RMOSM) for small, medium and large-scale construction projects. With the multi-mode activities and discrete resources as major constraints in project, the developed RMOSM is designed to estimate the Pareto-optimal solutions for projects’ scheduling in terms of combinations of optimum execution modes of construction activities. For the first time, instances of time–cost-resource-quality-safety-environmental impact trade-off (TCRQSET) problems involving up to 1260 activities are solved in paper to reveal the applicability of developed model. Generating the high-quality solutions with minor average percentage deviation (APD) from ideal point within seconds, is the main advantage of using developed RMOSM for solving the large-scale multi-objective scheduling problems (MOSPs). Moreover, comparison with existing scheduling models, value path plots analysis, correlation analysis and sensitivity analysis of algorithm attract the construction managers to use the developed model in scheduling of real-life construction projects.
Discrete OBNSGA III method-based robust multi-objective scheduling model for civil construction projects
Despite many existing research studies for multi-objective scheduling, the problems of scheduling of large-scale construction projects are not solved with much success due to the many computational complexities. The primary purpose of presented paper is to deliver a discrete opposition-based non-dominated sorting genetic algorithm III (D-OBNSGA III) method-based robust multi-objective scheduling model (RMOSM) for small, medium and large-scale construction projects. With the multi-mode activities and discrete resources as major constraints in project, the developed RMOSM is designed to estimate the Pareto-optimal solutions for projects’ scheduling in terms of combinations of optimum execution modes of construction activities. For the first time, instances of time–cost-resource-quality-safety-environmental impact trade-off (TCRQSET) problems involving up to 1260 activities are solved in paper to reveal the applicability of developed model. Generating the high-quality solutions with minor average percentage deviation (APD) from ideal point within seconds, is the main advantage of using developed RMOSM for solving the large-scale multi-objective scheduling problems (MOSPs). Moreover, comparison with existing scheduling models, value path plots analysis, correlation analysis and sensitivity analysis of algorithm attract the construction managers to use the developed model in scheduling of real-life construction projects.
Discrete OBNSGA III method-based robust multi-objective scheduling model for civil construction projects
Asian J Civ Eng
Sharma, Kamal (Autor:in) / Trivedi, Manoj Kumar (Autor:in)
Asian Journal of Civil Engineering ; 24 ; 2247-2264
01.11.2023
18 pages
Aufsatz (Zeitschrift)
Elektronische Ressource
Englisch
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