VEHICLE ROUTING PROBLEM WITH TIME WINDOWS USING HYBRID ENCODING GENETIC ALGORITHM

Authors

  • Dr P.K Chenniappan Sri Shakthi Institute of Engineering and Technology
  • Mrs.S.Aruna Devi Sri Shakthi Institute of Engineering and Technology. Assistant Professor, Tamil Nadu.

DOI:

https://doi.org/10.24297/ijct.v12i10.2985

Keywords:

Vehicle routing Problem, Time windows, Hybrid Encoding Genetic Algorithm (HEGA), Cross over and Mutation.

Abstract

The vehicle routing problem is to determine K vehicle routes, where a route is a tour that begins at the depot, traverses a subset of the customers in a specified sequence and returns to the depot. Each customer must be assigned to exactly one of the K vehicle routes and total size of deliveries for customers assigned to each vehicle must not exceed the vehicle capacity. The routes should be chosen to minimize total travel cost. Thispapergivesasolutiontofindanoptimumrouteforvehicle routingproblem using Hybrid Encoding GeneticAlgorithm (HEGA)technique tested on c++ programming.The objective is to find routes for the vehicles to service all the customers at a minimal cost and time without violating the capacity, travel time constraints and time window constraints

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Author Biographies

  • Dr P.K Chenniappan, Sri Shakthi Institute of Engineering and Technology

    Professor, Department of Mathematics. 

  • Mrs.S.Aruna Devi, Sri Shakthi Institute of Engineering and Technology. Assistant Professor, Tamil Nadu.
    Department of Mathematics

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Published

2014-04-18

Issue

Section

Research Articles

How to Cite

VEHICLE ROUTING PROBLEM WITH TIME WINDOWS USING HYBRID ENCODING GENETIC ALGORITHM. (2014). INTERNATIONAL JOURNAL OF COMPUTERS & TECHNOLOGY, 12(10), 3945-3951. https://doi.org/10.24297/ijct.v12i10.2985

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