A constraint programming approach and a hybrid of genetic and K-means algorithms to solve the p-hub location-allocation problems-Reference-Cited by-同舟云学术

A constraint programming approach and a hybrid of genetic and K-means algorithms to solve the p-hub location-allocation problems

Published:2021-04-01 Issue:2 Volume:16 Page:123-133
ISSN:1750-9653
Container-title:International Journal of Management Science and Engineering Management
language:en
Short-container-title:International Journal of Management Science and Engineering Management

Author:

Rabbani Masoud¹,Mokhtarzadeh Mahdi¹,Manavizadeh Neda²

Affiliation:

1. School of Industrial Engineering, College of Engineering, University of Tehran, Tehran, Iran

2. Department of Industrial Engineering, KHATAM University, Tehran, Iran

Funder

Publisher

Informa UK Limited

Subject

Information Systems and Management,Management Science and Operations Research,Strategy and Management,Mechanical Engineering,Engineering (miscellaneous)

Link

https://www.tandfonline.com/doi/pdf/10.1080/17509653.2021.1905096

Reference46 articles.

1. Production scheduling of open-pit mines using genetic algorithm: a case study

2. Principles of Constraint Programming

3. Networking Policies for Hub-and-Spoke Systems with Application to the Air Transportation System

4. Mathematical modeling for a p-mobile hub location problem in a dynamic environment by a genetic algorithm

5. Constraint programming for solving various assembly line balancing problems

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