JOURNAL ARTICLE

A HYBRID GENETIC ALGORITHM IMPLEMENTATION FOR VEHICLE ROUTING PROBLEM WITH TIME WINDOWS

Abstract

This article is related to approach development in order to determine the most appropriate route for bottled water delivery from warehouse to retail from particular boundaries such as a limit on number of vehicle, vehicle capacity, and time windows to each retail. A mathematical model of VRPTW is adopted to solve the problem. Malang is one of the drinking water production centers in Indonesia, definitely it will be difficult for the company to determine the optimal delivery route with the existing restrictions. In this research hybrid genetic algorithm is use to determine the route shipping companies with the Java programming language. After analyzing the results obtained show that the results of the implementation of hybrid genetic algorithm is better than the company actual route. Moreover, authors also analyze the effect the number of iterations for the computation time, and the influence the number of iterations for the fitness value or violation. This algorithm can be applied for the routing and the result obtained is an optimal solution

Keywords:
Vehicle routing problem Genetic algorithm Computer science Java Java Programming Language Limit (mathematics) Computation Mathematical optimization Routing (electronic design automation) Programming paradigm Hybrid algorithm (constraint satisfaction) Value (mathematics) Time limit Algorithm Operations research Engineering Mathematics Stochastic programming Machine learning Constraint programming

Metrics

2
Cited By
0.00
FWCI (Field Weighted Citation Impact)
21
Refs
0.19
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
Advanced Manufacturing and Logistics Optimization
Physical Sciences →  Engineering →  Industrial and Manufacturing Engineering
Transportation and Mobility Innovations
Physical Sciences →  Engineering →  Automotive Engineering

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