A Hybrid Approach Based on LP Metric Method and Genetic Algorithm for the Vehicle-Routing Problem with Time Windows, Driver-Specific Times, and Vehicles-Specific Capacities

Due to increasing population, increasing number of vehicles as well as environmental pollution, planning vehicles efficiently one of important problems nowadays. This article proposes a Multi-Objective Mixed Integer Programming (MOMIP) model for the vehicle-routing problem with time windows, driver-...

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Published inInternational journal of operations research and information systems Vol. 9; no. 4; pp. 51 - 67
Main Authors Asadi-Gangraj, Ebrahim, Nayeri, Sina
Format Journal Article
LanguageEnglish
Published Hershey IGI Global 01.10.2018
Subjects
Algorithms
Automobile drivers
Computing time
Cost control
Customer satisfaction
Customer services
Exact solutions
Genetic algorithms
Genetic research
Information systems
Integer programming
Methods
Mixed integer
Operations research
Roads & highways
Transportation planning
Vehicle routing
Vehicles
Windows (intervals)
Workforce
Online AccessGet full text
ISSN1947-9328
1947-9336
DOI10.4018/IJORIS.2018100104

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Abstract Due to increasing population, increasing number of vehicles as well as environmental pollution, planning vehicles efficiently one of important problems nowadays. This article proposes a Multi-Objective Mixed Integer Programming (MOMIP) model for the vehicle-routing problem with time windows, driver-specific times and vehicles-specific capacities (VRPTDV), a variant of the classical VRPT that uses driver-specific travel and service times and vehicles-specific capacity to model the familiarity of the different drivers with the customers to visit. The first objective function aims to minimize traveled distance and the second objective function minimizing working duration. Since the problem is NP-hard, optimal solution for the instances of realistic size cannot be obtained within a reasonable amount of computational time using exact solution approaches. Hence, the hybrid approach based on LP metric method and genetic algorithm is proposed to solve the given problem.
AbstractList Due to increasing population, increasing number of vehicles as well as environmental pollution, planning vehicles efficiently one of important problems nowadays. This article proposes a Multi-Objective Mixed Integer Programming (MOMIP) model for the vehicle-routing problem with time windows, driver-specific times and vehicles-specific capacities (VRPTDV), a variant of the classical VRPT that uses driver-specific travel and service times and vehicles-specific capacity to model the familiarity of the different drivers with the customers to visit. The first objective function aims to minimize traveled distance and the second objective function minimizing working duration. Since the problem is NP-hard, optimal solution for the instances of realistic size cannot be obtained within a reasonable amount of computational time using exact solution approaches. Hence, the hybrid approach based on LP metric method and genetic algorithm is proposed to solve the given problem.
Audience Academic
Author Nayeri, Sina
Asadi-Gangraj, Ebrahim
AuthorAffiliation Babol Noshirvani University of Technology, Babol, Iran
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SubjectTerms Algorithms
Automobile drivers
Computing time
Cost control
Customer satisfaction
Customer services
Exact solutions
Genetic algorithms
Genetic research
Information systems
Integer programming
Methods
Mixed integer
Operations research
Roads & highways
Transportation planning
Vehicle routing
Vehicles
Windows (intervals)
Workforce
Title A Hybrid Approach Based on LP Metric Method and Genetic Algorithm for the Vehicle-Routing Problem with Time Windows, Driver-Specific Times, and Vehicles-Specific Capacities
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