VEHICLE ROUTING PROBLEM WITH TIME WINDOWS USING HYBRID ENCODING GENETIC ALGORITHM
Journal: INTERNATIONAL JOURNAL OF COMPUTERS & TECHNOLOGY (Vol.12, No. 10)Publication Date: 2014-03-28
Authors : Dr Chenniappan; Mrs.S.Aruna Devi;
Page : 3945-3951
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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