Computational results from a new Lagrangean relaxation algorithm for the capacitated plant location problem-Reference-Cited by-同舟云学术

Computational results from a new Lagrangean relaxation algorithm for the capacitated plant location problem

Published:1991-07 Issue:1 Volume:53 Page:38-45
ISSN:0377-2217
Container-title:European Journal of Operational Research
language:en
Short-container-title:European Journal of Operational Research

Author:

Barcelo Jaime,Fernandez Elena,Jörnsten Kurt O.

Publisher

Elsevier BV

Subject

Information Systems and Management,Management Science and Operations Research,Modeling and Simulation,General Computer Science,Industrial and Manufacturing Engineering

Reference16 articles.

1. A partial dual algorithm for the capacitated warehouse location problem;Baker;European Journal of Operational Research,1986

2. Barcelo, J., “Computational experiences with automatic constraint identification procedures for capacitated plant location problems”, RR 85/04, Facultat d'Informatica, UPC. (Mathematical Programming Study, to appear).

3. Barcelo, J., “Complementary remarks and improvements to a Lagrangean heuristics for capacitated plant location problem”, RR85/05, Facultat d'Informatica.

4. A heuristic Lagrangean algorithm for the capacitated plant-location problem;Barcelo;European Journal of Operational Research,1984

5. On the choice of step size in subgradient optimization;Bazaraa;European Journal of Operational Research,1981

Cited by 49 articles. 订阅此论文施引文献订阅此论文施引文献，注册后可以免费订阅5篇论文的施引文献，订阅后可以查看论文全部施引文献

1. The Value of the Multi-period Solution revisited: When to model time in capacitated location problems;Computers & Operations Research;2024-01

2. Integrated Optimization of the Location–Inventory Problem of Maintenance Component Distribution for High-Speed Railway Operations;Sustainability;2020-07-06

3. References;Fundamentals of Supply Chain Theory;2019-06-28

4. A New Cache Placement Strategy for Wireless Internet of Things;J INTERNET TECHNOL;2019

5. Fixed-Charge Facility Location Problems;Location Science;2019