MORIME: A multi-objective RIME optimization framework for efficient truss design
Multi objective optimization (MOO) is very important in structural engineering, especially in truss design where a trade off between weight reduction and compliance is needed to maximize the efficiency. Usually, conventional optimization algorithms have difficulty in solving complex MOO tasks, and i...
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Elsevier
2025-03-01
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author | Mohammad Aljaidi Nikunj Mashru Pinank Patel Divya Adalja Pradeep Jangir Arpita Sundaram B. Pandya Mohammad Khishe |
author_facet | Mohammad Aljaidi Nikunj Mashru Pinank Patel Divya Adalja Pradeep Jangir Arpita Sundaram B. Pandya Mohammad Khishe |
author_sort | Mohammad Aljaidi |
collection | DOAJ |
description | Multi objective optimization (MOO) is very important in structural engineering, especially in truss design where a trade off between weight reduction and compliance is needed to maximize the efficiency. Usually, conventional optimization algorithms have difficulty in solving complex MOO tasks, and in generating diverse, high quality solutions for various structural configurations. To overcome these challenges, this study proposes a Multi Objective RIME (MORIME) algorithm that uses improved non-dominated sorting and crowding distance techniques to optimize weight and compliance over eight truss designs. With respect to Hypervolume (HV), Inverted Generational Distance (IGD), and Spacing (SP) metrics, it performed better than other established methods such as NSGA-II, MOEA/D, MOMVO, MOTEO, MOLCA, and MORIME, leading to better convergence and diversity of solution sets. The results show that MORIME is a good tool for dealing with complex multi objective optimization landscapes and that it is better than biologically inspired and hybrid optimization methods. MORIME is a powerful tool for structural engineers to produce well balanced truss designs, which meet stringent weight and compliance requirements in a multiobjective setting. MORIME is one attractive feature because it can generate optimal and diverse solutions in truss optimization, resulting in high quality design results. |
format | Article |
id | doaj-art-7e86225bab8f42aa9a32216bca31049b |
institution | Kabale University |
issn | 2590-1230 |
language | English |
publishDate | 2025-03-01 |
publisher | Elsevier |
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series | Results in Engineering |
spelling | doaj-art-7e86225bab8f42aa9a32216bca31049b2025-01-08T04:53:25ZengElsevierResults in Engineering2590-12302025-03-0125103933MORIME: A multi-objective RIME optimization framework for efficient truss designMohammad Aljaidi0Nikunj Mashru1Pinank Patel2Divya Adalja3Pradeep Jangir4 Arpita5Sundaram B. Pandya6Mohammad Khishe7Department of Computer Science, Faculty of Information Technology, Zarqa University, Zarqa 13110, JordanDepartment of Mechanical Engineering, Marwadi University, Rajkot, 360003, IndiaDepartment of Mechanical Engineering, Marwadi University, Rajkot, 360003, IndiaDepartment of Mathematics, Marwadi University, Rajkot, 3630003, IndiaAdjunct Professor, Department of CSE, Graphic Era Hill University, Dehradun, 248002, India; Adjunct Professor, Department of CSE, Graphic Era Deemed To Be University, Dehradun, 248002, Uttarakhand, India; Applied Science Research Center, Applied Science Private University, Amman 11931, JordanDepartment of Biosciences, Saveetha School of Engineering. Saveetha Institute of Medical and Technical Sciences, Chennai, 602105 IndiaDepartment of Electrical Engineering, Shri K.J. Polytechnic, Bharuch 392001, IndiaDepartment of Electrical Engineering, Imam Khomeini Naval Science University of Nowshahr, Nowshahr, Iran; Jadara University Research Center, Jadara University, Irbid, Jordan; Corresponding author.Multi objective optimization (MOO) is very important in structural engineering, especially in truss design where a trade off between weight reduction and compliance is needed to maximize the efficiency. Usually, conventional optimization algorithms have difficulty in solving complex MOO tasks, and in generating diverse, high quality solutions for various structural configurations. To overcome these challenges, this study proposes a Multi Objective RIME (MORIME) algorithm that uses improved non-dominated sorting and crowding distance techniques to optimize weight and compliance over eight truss designs. With respect to Hypervolume (HV), Inverted Generational Distance (IGD), and Spacing (SP) metrics, it performed better than other established methods such as NSGA-II, MOEA/D, MOMVO, MOTEO, MOLCA, and MORIME, leading to better convergence and diversity of solution sets. The results show that MORIME is a good tool for dealing with complex multi objective optimization landscapes and that it is better than biologically inspired and hybrid optimization methods. MORIME is a powerful tool for structural engineers to produce well balanced truss designs, which meet stringent weight and compliance requirements in a multiobjective setting. MORIME is one attractive feature because it can generate optimal and diverse solutions in truss optimization, resulting in high quality design results.http://www.sciencedirect.com/science/article/pii/S2590123025000210Structural engineeringPareto optimalityCompliance reductionMultiobjective optimization |
spellingShingle | Mohammad Aljaidi Nikunj Mashru Pinank Patel Divya Adalja Pradeep Jangir Arpita Sundaram B. Pandya Mohammad Khishe MORIME: A multi-objective RIME optimization framework for efficient truss design Results in Engineering Structural engineering Pareto optimality Compliance reduction Multiobjective optimization |
title | MORIME: A multi-objective RIME optimization framework for efficient truss design |
title_full | MORIME: A multi-objective RIME optimization framework for efficient truss design |
title_fullStr | MORIME: A multi-objective RIME optimization framework for efficient truss design |
title_full_unstemmed | MORIME: A multi-objective RIME optimization framework for efficient truss design |
title_short | MORIME: A multi-objective RIME optimization framework for efficient truss design |
title_sort | morime a multi objective rime optimization framework for efficient truss design |
topic | Structural engineering Pareto optimality Compliance reduction Multiobjective optimization |
url | http://www.sciencedirect.com/science/article/pii/S2590123025000210 |
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