Multi-objective Colliding Bodies Optimization Algorithm for the Obnoxious p-median Problems

The obnoxious p-median problem consists of locating p facilities among a set of sites such that the sum distance from any demand to its nearest facility and the dispersion among facilities are maximized. In this paper, the multi-objective colliding bodies optimization algorithm (MOCBO) is utilized t...

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Veröffentlicht in:Periodica polytechnica. Civil engineering. Bauingenieurwesen Jg. 68; H. 3; S. 705 - 710
Hauptverfasser: Kaveh, Ali, Mahdavi, Vahid Reza
Format: Journal Article
Sprache:Englisch
Veröffentlicht: Budapest Periodica Polytechnica, Budapest University of Technology and Economics 01.07.2024
Schlagworte:
Algorithms
Archives & records
Civil engineering
Heuristic
Locating
Multiple objective analysis
Optimization
Optimization algorithms
Optimization techniques
Variables
ISSN:0553-6626, 1587-3773
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Zusammenfassung:The obnoxious p-median problem consists of locating p facilities among a set of sites such that the sum distance from any demand to its nearest facility and the dispersion among facilities are maximized. In this paper, the multi-objective colliding bodies optimization algorithm (MOCBO) is utilized to obtain the trade-off curve of the obnoxious p-median problems. The performance of the developed optimization method is investigated for locating obnoxious facilities through two case studies to maximize the two conflicting objectives. The performance of the MOCBO algorithm is further compared with those of the MPSO and NSGA-II algorithms representative of the state of the art in the field of multi-objective optimization. In this study, the MOCBO algorithm showed suitable convergence performance and generalization abilities compared to the MPSO and NSGA-II algorithms.
Bibliographie:ObjectType-Article-1
SourceType-Scholarly Journals-1
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ISSN:0553-6626
1587-3773
DOI:10.3311/PPci.23567