A swarm intelligent approach for multi-objective optimization of compact heat exchangers

Constrained optimization; Genetic algorithms; Heat exchangers; Pareto principle; Particle swarm optimization (PSO); Compact heat exchanger; Constraint handling strategies; Constraints handling; Multi objective algorithm; Non-dominated sorting genetic algorithm - ii; Trial-and-error procedures; Trial...

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Main Authors: Yousefi M., Martins Ferreira R.P., Darus A.N.
Other Authors: 55247052200
Format: Article
Published: SAGE Publications Ltd 2023
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author Yousefi M.
Yousefi M.
Martins Ferreira R.P.
Darus A.N.
author2 55247052200
author_facet 55247052200
Yousefi M.
Yousefi M.
Martins Ferreira R.P.
Darus A.N.
author_sort Yousefi M.
building UNITEN Library
collection Institutional Repository
content_provider Universiti Tenaga Nasional
content_source UNITEN Institutional Repository
continent Asia
country Malaysia
description Constrained optimization; Genetic algorithms; Heat exchangers; Pareto principle; Particle swarm optimization (PSO); Compact heat exchanger; Constraint handling strategies; Constraints handling; Multi objective algorithm; Non-dominated sorting genetic algorithm - ii; Trial-and-error procedures; Trial-and-error process; Weighted sum approaches; Multiobjective optimization
format Article
id my.uniten.dspace-23276
institution Universiti Tenaga Nasional
publishDate 2023
publisher SAGE Publications Ltd
record_format dspace
spelling my.uniten.dspace-232762023-05-29T14:39:02Z A swarm intelligent approach for multi-objective optimization of compact heat exchangers Yousefi M. Yousefi M. Martins Ferreira R.P. Darus A.N. 55247052200 53985756300 15623226000 56584823100 Constrained optimization; Genetic algorithms; Heat exchangers; Pareto principle; Particle swarm optimization (PSO); Compact heat exchanger; Constraint handling strategies; Constraints handling; Multi objective algorithm; Non-dominated sorting genetic algorithm - ii; Trial-and-error procedures; Trial-and-error process; Weighted sum approaches; Multiobjective optimization Design optimization of heat exchangers is a very complicated task that has been traditionally carried out based on a trial-and-error procedure. To overcome the difficulties of the conventional design approaches especially when a large number of variables, constraints and objectives are involved, a new method based on a well-established evolutionary algorithm, particle swarm optimization, weighted sum approach and a novel constraint handling strategy is presented in this study. Since the conventional constraint handling strategies are not effective and easy-to-implement in multi-objective algorithms, a novel feasibility-based ranking strategy is introduced which is both extremely user-friendly and effective. A case study from industry has been investigated to illustrate the performance of the presented approach. The results show that the proposed algorithm can find the near pareto-optimal with higher accuracy when it is compared to conventional non-dominated sorting genetic algorithm II. Moreover, the difficulties of a trial-and-error process for setting the penalty parameters are solved in this algorithm. � IMechE 2015. Final 2023-05-29T06:39:01Z 2023-05-29T06:39:01Z 2017 Article 10.1177/0954408915581995 2-s2.0-85015150471 https://www.scopus.com/inward/record.uri?eid=2-s2.0-85015150471&doi=10.1177%2f0954408915581995&partnerID=40&md5=8be104220c01ad6c33c885da94106c92 https://irepository.uniten.edu.my/handle/123456789/23276 231 2 164 171 SAGE Publications Ltd Scopus
spellingShingle Yousefi M.
Yousefi M.
Martins Ferreira R.P.
Darus A.N.
A swarm intelligent approach for multi-objective optimization of compact heat exchangers
title A swarm intelligent approach for multi-objective optimization of compact heat exchangers
title_full A swarm intelligent approach for multi-objective optimization of compact heat exchangers
title_fullStr A swarm intelligent approach for multi-objective optimization of compact heat exchangers
title_full_unstemmed A swarm intelligent approach for multi-objective optimization of compact heat exchangers
title_short A swarm intelligent approach for multi-objective optimization of compact heat exchangers
title_sort swarm intelligent approach for multi-objective optimization of compact heat exchangers
url_provider http://dspace.uniten.edu.my/