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

How to Cite

Chenniappan, D. P., & Devi, M. (2014). VEHICLE ROUTING PROBLEM WITH TIME WINDOWS USING HYBRID ENCODING GENETIC ALGORITHM. INTERNATIONAL JOURNAL OF COMPUTERS &Amp; TECHNOLOGY, 12(10), 3945–3951. https://doi.org/10.24297/ijct.v12i10.2985

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Section

Research Articles