JOURNAL ARTICLE

Logistics Distribution Route Optimization Based on Improved Particle Swarm Optimization

Hai ZhaoAshutosh Sharma

Year: 2023 Journal:   Informatica Vol: 47 (2)   Publisher: Slovenian Society Informatika

Abstract

This article improves the logistics distribution route and improves the distribution as well as transportation efficiency. The article combines the features of logistics dissemination along with mathematical designing of dissemination automobile routing issue. The mountain climbing procedure with strong local search ability is introduced into the particle swarm optimization (PSO) procedure to improve the offered approach. Two mountain climbing schemes are offered in this article, and two different hybrid (PSO) procedures are constructed. The experimental outcomes reveals the performance of Hybrid PSO scheme 1 and hybrid PSO scheme 2 offered in this paper which are better than that of standard PSO. Hybrid PSO scheme 2 offers best potential in efficiently solving the routing issue of logistics dissemination automobile. After the issue scale grows, the optimization advantages of Hybrid PSO scheme 2 are fully displayed. It was observed from the experimental analysis that using hybrid PSO scheme 2 to solve the logistics dissemination automobile routing issue can greatly shorten the dissemination mileage.

Keywords:
Particle swarm optimization Scheme (mathematics) Vehicle routing problem Computer science Hill climbing Mathematical optimization Swarm behaviour Routing (electronic design automation) Artificial intelligence Algorithm Mathematics Computer network

Metrics

5
Cited By
1.43
FWCI (Field Weighted Citation Impact)
20
Refs
0.81
Citation Normalized Percentile
Is in top 1%
Is in top 10%

Citation History

Topics

Vehicle Routing Optimization Methods
Physical Sciences →  Engineering →  Industrial and Manufacturing Engineering

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