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Journal ArticleDOI

Bi-objective optimization of the intermodal terminal location problem as a policy-support tool

Kenneth Sörensen, +1 more
- 01 Feb 2013 - 
- Vol. 64, Iss: 2, pp 128-135
TLDR
A problem-specific GRASP (greedy randomized adaptive search procedure) is developed to solve the bi-objective terminal location problem efficiently, and can be used to improve the quality of the Pareto set approximation.
About
This article is published in Computers in Industry.The article was published on 2013-02-01. It has received 31 citations till now. The article focuses on the topics: Greedy randomized adaptive search procedure & Terminal (electronics).

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Citations
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Journal ArticleDOI

Decision support in intermodal transport: A new research agenda

TL;DR: This paper proposes new research themes concerning decision support in intermodal transport, and identifies the current state of the art and gaps in existing models as well as highlighting the growth in innovative applications of Operations Research techniques.
Journal ArticleDOI

Road and intermodal transport performance: the impact of operational costs and air pollution external costs

TL;DR: In this paper, an intermodal allocation model is applied to the Belgian case in order to identify the modal split changes between the single minimization of costs (operational or health-related external) and the introduction of additional road taxes.
Journal ArticleDOI

Decomposition approach for integrated intermodal logistics network design

TL;DR: In this article, the integrated intermodal logistics network design problem consists of determining terminal locations and selecting regular routes and transportation modes for loads, and a decomposition-based search algorithm has been proposed for its solution.
Journal ArticleDOI

A review of fleet planning problems in single and multimodal transportation systems

TL;DR: Evaluation of the previous fleet planning researches enabled us to identify gaps in the literature and comment on the directions for future works which can lead to develop expert systems/decision support systems in the context of Logistics 4.0 for the integrated fleet planning problems with sustainability objectives under uncertain environments.
Journal ArticleDOI

Intermodal network design: a three-mode bi-objective model applied to the case of Belgium

TL;DR: In this article, the authors proposed a bi-objective mathematical formulation which takes into account economic and environmental objectives, on a road and intermodal network with three modes of transport, and in which economies of scale of inter-modal transport can be considered.
References
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Book ChapterDOI

Multiobjective Optimization Using Evolutionary Algorithms - A Comparative Case Study

TL;DR: In this paper an extensive, quantitative comparison is presented, applying four multiobjective evolutionary algorithms to an extended 0/1 knapsack problem.
Journal ArticleDOI

A probabilistic heuristic for a computationally difficult set covering problem

TL;DR: An efficient probabilistic set covering heuristic is presented that provides the best known solutions to all other instances attempted to solve set covering problems that arise from Steiner triple systems.
Dissertation

Fault Tolerant Design Using Single and Multicriteria Genetic Algorithm Optimization.

TL;DR: This research shows that a single criterion genetic algorithm can be expected to outperform other methods in efficiency, accuracy, and speed on problems of moderate to high complexity.
Journal ArticleDOI

Multiple criteria facility location problems: A survey

TL;DR: A review on recent efforts and development in multi-criteria location problems in three categories including bi-objective, multiobjective and multi-attribute problems and their solution methods is provided in this article.
Book ChapterDOI

Quality Assessment of Pareto Set Approximations

TL;DR: This chapter reviews methods for the assessment and comparison of Pareto set approximations based on a number of orthogonal criteria, including invariance to scaling, monotonicity and computational effort.
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