Abhishek Arya, G. I. Gunarani, V. Rathinakumar, Apurva Sharma, Aditya Kumar Pati, Krushna Chandra Sethi
{"title":"NSGA-III based optimization model for balancing time, cost, and quality in resource-constrained retrofitting projects","authors":"Abhishek Arya, G. I. Gunarani, V. Rathinakumar, Apurva Sharma, Aditya Kumar Pati, Krushna Chandra Sethi","doi":"10.1007/s42107-024-01133-6","DOIUrl":null,"url":null,"abstract":"<div><p>This paper introduces an innovative resource-constrained time–cost-quality trade-off optimization model (RCTCQ-TOOM) designed specifically for retrofitting planning projects in densely populated areas such as India. The model integrates seven critical aspects of retrofitting and leverages the advanced NSGA-III algorithm to find Pareto-optimal solutions that effectively balance project completion time, cost, and quality constraints. A case of retrofitting project of Gwalior, India, demonstrates the real-world applicability and effectiveness of RCTCQ-TOOM in providing valuable decision support for stakeholders. The study showcases how the model can optimize retrofitting projects by presenting a diverse set of superior-quality solutions along Pareto-optimal front within a reasonable computational timeframe. The paper also includes a comparative analysis with other multi-objective optimization methods, such as Multi-Objective Particle Swarm Optimization (MOPSO), Multi-Objective Ant Colony Optimization (MOACO), and Multi-Objective Teaching–Learning-Based Optimization (MOTLBO). This analysis highlights NSGA-III's superior performance in achieving both convergence and diversity of optimal solutions. The findings indicate that NSGA-III effectively balances time, cost, and quality aspects, making it a robust tool for optimizing retrofitting projects. The RCTCQ-TOOM, combined with the NSGA-III algorithm, promotes sustainability and resilience in urban development by providing a comprehensive and efficient optimization framework.</p><h3>Graphical abstract</h3>\n<div><figure><div><div><picture><source><img></source></picture></div></div></figure></div></div>","PeriodicalId":8513,"journal":{"name":"Asian Journal of Civil Engineering","volume":"25 7","pages":"5613 - 5625"},"PeriodicalIF":0.0000,"publicationDate":"2024-07-30","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"Asian Journal of Civil Engineering","FirstCategoryId":"1085","ListUrlMain":"https://link.springer.com/article/10.1007/s42107-024-01133-6","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q2","JCRName":"Engineering","Score":null,"Total":0}
引用次数: 0
Abstract
This paper introduces an innovative resource-constrained time–cost-quality trade-off optimization model (RCTCQ-TOOM) designed specifically for retrofitting planning projects in densely populated areas such as India. The model integrates seven critical aspects of retrofitting and leverages the advanced NSGA-III algorithm to find Pareto-optimal solutions that effectively balance project completion time, cost, and quality constraints. A case of retrofitting project of Gwalior, India, demonstrates the real-world applicability and effectiveness of RCTCQ-TOOM in providing valuable decision support for stakeholders. The study showcases how the model can optimize retrofitting projects by presenting a diverse set of superior-quality solutions along Pareto-optimal front within a reasonable computational timeframe. The paper also includes a comparative analysis with other multi-objective optimization methods, such as Multi-Objective Particle Swarm Optimization (MOPSO), Multi-Objective Ant Colony Optimization (MOACO), and Multi-Objective Teaching–Learning-Based Optimization (MOTLBO). This analysis highlights NSGA-III's superior performance in achieving both convergence and diversity of optimal solutions. The findings indicate that NSGA-III effectively balances time, cost, and quality aspects, making it a robust tool for optimizing retrofitting projects. The RCTCQ-TOOM, combined with the NSGA-III algorithm, promotes sustainability and resilience in urban development by providing a comprehensive and efficient optimization framework.
期刊介绍:
The Asian Journal of Civil Engineering (Building and Housing) welcomes articles and research contributions on topics such as:- Structural analysis and design - Earthquake and structural engineering - New building materials and concrete technology - Sustainable building and energy conservation - Housing and planning - Construction management - Optimal design of structuresPlease note that the journal will not accept papers in the area of hydraulic or geotechnical engineering, traffic/transportation or road making engineering, and on materials relevant to non-structural buildings, e.g. materials for road making and asphalt. Although the journal will publish authoritative papers on theoretical and experimental research works and advanced applications, it may also feature, when appropriate: a) tutorial survey type papers reviewing some fields of civil engineering; b) short communications and research notes; c) book reviews and conference announcements.