A Hybrid Benders/genetic algorithm for vehicle routing and scheduling problem

Authors

  • Ming-Che Lai Yu Da University
  • Hansuk Sohn New Mexico State University
  • Dennis L. Bricker The University of Iowa

DOI:

https://doi.org/10.23055/ijietap.2012.19.1.610

Keywords:

Vehicle Routing, Hybrid Algorithm, Genetic Algorithm, Benders’ Decomposition, Lagrangian Relaxation, Mixed-integer programming.

Abstract

This paper presents an optimization model and its application to a classical vehicle routing problem. The proposed model is exploited effectively by the hybrid Benders/genetic algorithm which is based on the solution framework of Benders’ decomposition algorithm, together with the use of genetic algorithm to effectively reduce the computational difficulty. The applicability of the hybrid algorithm is demonstrated in the case study of the Rockwell Collin’s fleet management plan. The results demonstrate that the model is a practical and flexible tool in solving realistic fleet management planning problems.

Author Biographies

Ming-Che Lai, Yu Da University

Dr. Ming-Che Lai is currently an Assistant Professor in the Department of Marketing and Logistics Management at Yu Da University, Taiwan. His research areas are optimization, logistics, design, and evolutionary computation.

Hansuk Sohn, New Mexico State University

Dr. Hansuk Sohn is currently an Assistant Professor in the Department of Industrial Engineering at New Mexico State University, and is the Co-director of the Center for Stochastic Modeling. His research focuses on the large scale computational science and engineering. Specific applications of interests are network design, logistics, and supply chain management.

Dennis L. Bricker, The University of Iowa

Dennis L. Bricker received his B.S. in mathematics from the University of Illinois in 1965 and his M.S. in mathematics from the University of Illinois, Urbana-Champaign, IL, USA in 1966. He then attended Northwestern University, Chicago, IL, USA where he received his M.S. in industrial engineering and management science in 1972, and then his Ph.D. in industrial engineering and management science in 1975.

He is Professor Emeritus in the Department of Mechanical and Industrial Engineering at the University of Iowa, where he has taught and conducted research in operations research, with a primary interest in optimization algorithms and applications.

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Published

2012-05-15

How to Cite

Lai, M.-C., Sohn, H., & Bricker, D. L. (2012). A Hybrid Benders/genetic algorithm for vehicle routing and scheduling problem. International Journal of Industrial Engineering: Theory, Applications and Practice, 19(1). https://doi.org/10.23055/ijietap.2012.19.1.610

Issue

Vol. 19 No. 1 (2012)

Section

Operations Research

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