A location-allocation-improvement heuristic for districting with multiple-activity balancing constraints and p-median-based dispersion minimization-Reference-Cited by-同舟云学术

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A location-allocation-improvement heuristic for districting with multiple-activity balancing constraints and p-median-based dispersion minimization

Published:2021-02 Issue: Volume:126 Page:105106
ISSN:0305-0548
Container-title:Computers & Operations Research
language:en
Short-container-title:Computers & Operations Research

Author:

Ríos-Mercado Roger Z.,Álvarez-Socarrás Ada M.,Castrillón Andrés,López-Locés Mario C.

Publisher

Elsevier BV

Subject

Management Science and Operations Research,Modeling and Simulation,General Computer Science

Reference44 articles.

1. A simulated annealing genetic algorithm for the electrical power districting problem;Bergey;Annals of Operations Research,2003

2. Solving a home-care districting problem in an urban setting;Blais;Journal of the Operational Research Society,2003

3. A tabu search heuristic and adaptive memory procedure for political districting;Bozkaya;European Journal of Operational Research,2003

4. School redistricting: Embedding GIS tools with integer programming;Caro;Journal of the Operational Research Society,2004

5. A simulated annealing approach to police district design;D’Amico;Computers & Operations Research,2002

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1. A sample approximation solution procedure for chance-constrained districting problems;Computers & Operations Research;2023-12

2. Approximation schemes for districting problems with probabilistic constraints;European Journal of Operational Research;2023-05

3. Clustering Electrical Customers with Source Power and Aggregation Constraints: A Reliability-Based Approach in Power Distribution Systems;Energies;2023-03-05

4. A novel districting design approach for on-time last-mile delivery: An application on an express postal company;Omega;2022-12

5. A hybrid spectral clustering simulated annealing algorithm for the street patrol districting problem;Complex & Intelligent Systems;2022-10-13

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