Multi-objective resistance-capacitance optimization algorithm: An effective multi-objective algorithm for engineering design problems

Ravichandran, Sowmya, Manoharan, Premkumar, Sinha, Deepak Kumar, Jangir, Pradeep, Abualigah, Laith and Alghamdi, Thamer A.H. 2024. Multi-objective resistance-capacitance optimization algorithm: An effective multi-objective algorithm for engineering design problems. Heliyon 10 (17) , e35921. 10.1016/j.heliyon.2024.e35921

Preview

PDF - Published Version Available under License Creative Commons Attribution. Download (26MB) | Preview

Abstract

Focusing on practical engineering applications, this study introduces the Multi-Objective Resistance-Capacitance Optimization Algorithm (MORCOA), a new approach for multi-objective optimization problems. MORCOA uses the transient response behaviour of resistance-capacitance circuits to navigate complex optimization landscapes and identify global optima when faced with many competing objectives. The core approach of MORCOA combines a dynamic elimination-based crowding distance mechanism with non-dominated sorting to generate an ideal and evenly distributed Pareto front. The algorithm's effectiveness is evaluated through a structured, three-phase analysis. Initially, MORCOA is applied to five benchmark problems from the ZDT test suite, with performance assessed using various metrics and compared against state-of-the-art multi-objective optimization techniques. The study then expands to include seven problems from the DTLZ benchmark collection, further validating MORCOA's effectiveness. The final phase involves applying MORCOA to six real-world constrained engineering design problems. Notably, the optimization of a honeycomb heat sink, which is crucial in thermal management systems, is a significant part of this study. This phase uses a range of performance measures to assess MORCOA's practical application and efficacy in engineering design. The results highlight MORCOA's robustness and efficiency in both real-world engineering applications and benchmark problems, demonstrating its superior capabilities compared to existing algorithms. The effective use of MORCOA in real-world engineering design problems indicates its potential as an adaptable and powerful tool for complex multi-objective optimization tasks, contributing to the optimization field.

Item Type:	Article
Date Type:	Publication
Status:	Published
Schools:	Engineering
Publisher:	Elsevier
ISSN:	2405-8440
Date of First Compliant Deposit:	30 August 2024
Date of Acceptance:	6 August 2024
Last Modified:	26 Sep 2024 13:16
URI:	https://orca.cardiff.ac.uk/id/eprint/171458

Actions (repository staff only)

Edit Item