Multi-Objective Optimization Methods for Transportation Network Problems

Author:

Mnif Mouna Gargouri1,Bouamama Sadok2ORCID

Affiliation:

1. ENSI, University of Manouba COSMOS Laboratory, Manouba, Tunisia

2. Higher College of Technology DMC, Dubai, Tunisia

Abstract

This article recapitulates literature research solving transportation problems and these variants, notably the multimodal transportation problems variants. Moreover, the existing optimization methods critiqued and synthesized their efficiency to solve the transportation problem. This problem can be identified by various criteria and objectives functions that distinguished according to the case study. Based on the existing literature research, a taxonomy is proposed to distinguish different factors and criteria that perform and influence the multi-objective optimization on the transportation network planning problems. The transportation problems are cited according to these objective functions, and the variant of the problem by referring to the previous studies. In this article, the authors have focused their attention on a recent multi-objective mathematical model to solve the planning network of the multimodal transportation problem.

Publisher

IGI Global

Subject

Information Systems and Management,Computational Theory and Mathematics,Computer Networks and Communications,Computer Science Applications,Information Systems,Management Information Systems

Reference54 articles.

1. Multiobjective Optimum Path Algorithm for Passenger Pretrip Planning in Multimodal Transportation Networks

2. 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

3. A new distributed particle swarm optimization algorithm for constraint reasoning.;S.Bouamama;Proceedings of the International Conference on Knowledge-Based and Intelligent Information and Engineering Systems,2010

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