On Algorithmic Descriptions and Software Implementations for Multi-objective Optimisation: A Comparative Study

Multi-objective optimisation is a prominent subfield of optimisation with high relevance in real-world problems, such as engineering design. Over the past 2 decades, a multitude of heuristic algorithms for multi-objective optimisation have been introduced and some of them have become extremely popul...

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Veröffentlicht in:	SN computer science Jg. 1; H. 5; S. 247
Hauptverfasser:	Rostami, Shahin, Neri, Ferrante, Gyaurski, Kiril
Format:	Journal Article
Sprache:	Englisch
Veröffentlicht:	Singapore Springer Singapore 01.09.2020 Springer Nature B.V
Schlagworte:	Approximation Comparative studies Computer Imaging Computer Science Computer Systems Organization and Communication Networks Data Structures and Information Theory Decision making Design engineering Genetic algorithms Heuristic Heuristic methods Hypotheses Information Systems and Communication Service Multiple objective analysis Optimization Pattern Recognition and Graphics Search algorithms Software Software Engineering/Programming and Operating Systems Survey Article Vision Optimisation software platforms Evolutionary algorithms Multi-objective optimisation
ISSN:	2662-995X, 2661-8907
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Abstract	Multi-objective optimisation is a prominent subfield of optimisation with high relevance in real-world problems, such as engineering design. Over the past 2 decades, a multitude of heuristic algorithms for multi-objective optimisation have been introduced and some of them have become extremely popular. Some of the most promising and versatile algorithms have been implemented in software platforms. This article experimentally investigates the process of interpreting and implementing algorithms by examining multiple popular implementations of three well-known algorithms for multi-objective optimisation. We observed that official and broadly employed software platforms interpreted and thus implemented the same heuristic search algorithm differently. These different interpretations affect the algorithmic structure as well as the software implementation. Numerical results show that these differences cause statistically significant differences in performance.
AbstractList	Multi-objective optimisation is a prominent subfield of optimisation with high relevance in real-world problems, such as engineering design. Over the past 2 decades, a multitude of heuristic algorithms for multi-objective optimisation have been introduced and some of them have become extremely popular. Some of the most promising and versatile algorithms have been implemented in software platforms. This article experimentally investigates the process of interpreting and implementing algorithms by examining multiple popular implementations of three well-known algorithms for multi-objective optimisation. We observed that official and broadly employed software platforms interpreted and thus implemented the same heuristic search algorithm differently. These different interpretations affect the algorithmic structure as well as the software implementation. Numerical results show that these differences cause statistically significant differences in performance.
ArticleNumber	247
Author	Neri, Ferrante Rostami, Shahin Gyaurski, Kiril
Author_xml	– sequence: 1 givenname: Shahin surname: Rostami fullname: Rostami, Shahin organization: Data Science Lab, Polyra Limited, Department of Computing and Informatics, Bournemouth University – sequence: 2 givenname: Ferrante orcidid: 0000-0002-6100-6532 surname: Neri fullname: Neri, Ferrante email: ferrante.neri@nottingham.ac.uk organization: COL Laboratory, School of Computer Science, University of Nottingham – sequence: 3 givenname: Kiril surname: Gyaurski fullname: Gyaurski, Kiril organization: Department of Computing and Informatics, Bournemouth University
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SubjectTerms	Approximation Comparative studies Computer Imaging Computer Science Computer Systems Organization and Communication Networks Data Structures and Information Theory Decision making Design engineering Genetic algorithms Heuristic Heuristic methods Hypotheses Information Systems and Communication Service Multiple objective analysis Optimization Pattern Recognition and Graphics Search algorithms Software Software Engineering/Programming and Operating Systems Survey Article Vision
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Title	On Algorithmic Descriptions and Software Implementations for Multi-objective Optimisation: A Comparative Study
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