JOURNAL ARTICLE

Particle Swarm Optimization in Solving Vehicle Routing Problem

Abstract

The Vehicle Routing Problem (VRP) is a NP complete problem and is also a hot topic in the operational research. But traditional methods might suffer from slow convergence and the curse of large sizes, heuristics-based swarm intelligence can be an efficient alternative. Particle swarm optimization (PSO) is known to effectively solve engineering optimization problems. In this paper, the PSO in solving VRP is comprehensive surveyed from two basic aspects: the improved PSO algorithms and the particle encoding method. For each application, technical details that are required are all discussed. Finally, a summary is given together with suggestions for future research.

Keywords:
Particle swarm optimization Vehicle routing problem Mathematical optimization Computer science Heuristics Multi-swarm optimization Convergence (economics) Swarm intelligence Benchmark (surveying) Metaheuristic Routing (electronic design automation) Encoding (memory) Mathematics Artificial intelligence

Metrics

21
Cited By
0.79
FWCI (Field Weighted Citation Impact)
30
Refs
0.80
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
Metaheuristic Optimization Algorithms Research
Physical Sciences →  Computer Science →  Artificial Intelligence
Optimization and Packing Problems
Physical Sciences →  Engineering →  Industrial and Manufacturing Engineering

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