Eine Plattform für die Wissenschaft: Bauingenieurwesen, Architektur und Urbanistik
Eine Plattform für die Wissenschaft: Bauingenieurwesen, Architektur und Urbanistik
Time-cost trade-off optimization model for retrofitting planning projects using MOGA
This paper introduces a novel Time-Cost Trade-Off Optimization Model (TCTOM) tailored for retrofitting projects in densely populated areas like India. Integrating structural, electrical, plumbing, HVAC, fire protection, insulation, and finishing aspects, the TCTOM utilizes Multi-Objective Genetic Algorithms (MOGAs) to identify Pareto-optimal solutions, balancing project duration and cost while meeting functional requirements and budget constraints. Through a case study in Gwalior, India, the TCTOM demonstrates practical applicability, offering decision support for stakeholders. Additionally, a comparison with existing methods such as MOPSO, MOACO, and MOTLBO highlights the superior performance of the proposed MOGA algorithm in terms of convergence and diversity of optimal solutions. The MOGA strikes an effective balance between convergence and diversity, producing a diverse set of high-quality solutions along the Pareto-optimal front within a reasonable computational time. Overall, the TCTOM, coupled with MOGA, provides a valuable tool for optimizing retrofitting projects, advancing sustainability and resilience in urban development initiatives.
Time-cost trade-off optimization model for retrofitting planning projects using MOGA
This paper introduces a novel Time-Cost Trade-Off Optimization Model (TCTOM) tailored for retrofitting projects in densely populated areas like India. Integrating structural, electrical, plumbing, HVAC, fire protection, insulation, and finishing aspects, the TCTOM utilizes Multi-Objective Genetic Algorithms (MOGAs) to identify Pareto-optimal solutions, balancing project duration and cost while meeting functional requirements and budget constraints. Through a case study in Gwalior, India, the TCTOM demonstrates practical applicability, offering decision support for stakeholders. Additionally, a comparison with existing methods such as MOPSO, MOACO, and MOTLBO highlights the superior performance of the proposed MOGA algorithm in terms of convergence and diversity of optimal solutions. The MOGA strikes an effective balance between convergence and diversity, producing a diverse set of high-quality solutions along the Pareto-optimal front within a reasonable computational time. Overall, the TCTOM, coupled with MOGA, provides a valuable tool for optimizing retrofitting projects, advancing sustainability and resilience in urban development initiatives.
Time-cost trade-off optimization model for retrofitting planning projects using MOGA
Asian J Civ Eng
Patil, Anjali S (Autor:in) / Agarwal, Aditya Kumar (Autor:in) / Sharma, Kamal (Autor:in) / Trivedi, Manoj Kumar (Autor:in)
Asian Journal of Civil Engineering ; 25 ; 3823-3833
01.07.2024
11 pages
Aufsatz (Zeitschrift)
Elektronische Ressource
Englisch
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