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Arabian Journal for Science and Engineering
Erschienen in: Arabian Journal for Science and Engineering 8/2022

06.01.2022 | Research Article-Computer Engineering and Computer Science

A Customized PSO Model for Large-Scale Many-Objective Software Package Restructuring Problem

verfasst von: Amarjeet Prajapati

Erschienen in: Arabian Journal for Science and Engineering | Ausgabe 8/2022

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Abstract

Recently, a variety of large-scale many-objective optimization algorithms (LSMaOAs) have been designed and proposed to address different classes of large-scale many-objective optimization problems (LSMaOPs). Even after tremendous progress in the development of LSMaOAs for the various types of synthetic LSMaOPs, the real-world LSMaOPs such as large-scale many-objective software package restructuring (LSMaOSPR) gained little attention. This work proposes a particle swarm optimization (PSO) based LSMaOA for the LSMaOSPR problem. To this contribution, different components of PSO framework such as selection of inertia weight, selection of cognitive and social constant, updating velocity and position of particles, and determination of personal best and global best are customized based on the suitability of the LSMaOSPR characteristics. To evaluate the supremacy of the proposed approach, we tested it over five LSMaOSPR problems. The optimization results indicate that the proposed LSMaOA approach has enough capability for generating an evenly distributed and well-converged approximation of the Pareto front for the large and complex LSMaOSPR problems.
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Metadaten
Titel
A Customized PSO Model for Large-Scale Many-Objective Software Package Restructuring Problem
verfasst von
Amarjeet Prajapati
Publikationsdatum
06.01.2022
Verlag
Springer Berlin Heidelberg
Erschienen in
Arabian Journal for Science and Engineering / Ausgabe 8/2022
Print ISSN: 2193-567X
Elektronische ISSN: 2191-4281
DOI
https://doi.org/10.1007/s13369-021-06523-5

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