JOURNAL ARTICLE

Parallel artificial bee colony algorithm for traveling salesman problem

Abstract

In this study, we proposed a parallel implementation of the combinatorial type artificial bee colony algorithm which has an efficient neighbor production mechanism. Running time and performance tests of the proposed parallel model were carried on the traveling salesmen problem. Results show that parallel artificial bee colony algorithm decreases the running time due to exploiting the computational power of parallel computing systems. Beside, better quality solutions are obtained compared to the reproduction methods of the genetic algorithm.

Keywords:
Travelling salesman problem Artificial bee colony algorithm Computer science Genetic algorithm Parallel algorithm Running time Algorithm Mathematical optimization Parallel computing Artificial intelligence Mathematics Machine learning

Metrics

2
Cited By
0.00
FWCI (Field Weighted Citation Impact)
16
Refs
0.20
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
Robotic Path Planning Algorithms
Physical Sciences →  Computer Science →  Computer Vision and Pattern Recognition

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