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Scalable Multi-Objective Optimization for Facility Location Using A Metaheuristic Technique

Rapid growth in e-commerce and service expectations forces large-scale logistics networks to balance facility operating cost, service coverage, and delivery equity simultaneously. This study aims to develop a scalable discrete multi-objective particle swarm optimization (MOPSO-FLP) framework for co...

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Principais autores: Thanathorn Karot, Choosak Pornsing
Format: Artigo
Sprog:Inglês
Udgivet: IIUM Press, International Islamic University Malaysia 2026-05-01
Serier:International Islamic University Malaysia Engineering Journal
Fag:
Facility location
Logistics systems
Multi-objective optimization
Particle swarm optimization
Metaheuristics
Online adgang:https://journals.iium.edu.my/ejournal/index.php/iiumej/article/view/4072
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