An exact penalty function method for optimising QAP formulation in facility layout problem-Reference-Cited by-同舟云学术

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An exact penalty function method for optimising QAP formulation in facility layout problem

Published:2016-09 Issue:10 Volume:55 Page:2913-2929
ISSN:0020-7543
Container-title:International Journal of Production Research
language:en
Short-container-title:International Journal of Production Research

Author:

Zhou Jingyang¹²,Love Peter E.D.¹,Teo Kok Lay²,Luo Hanbin³

Affiliation:

1. Department of Civil and Mechanical Engineering, Curtin University, Perth, Australia

2. Department of Mathematics and Statistics, Curtin University, Perth, Australia

3. Department of Engineering and Mechanics, Huazhong University of Science and Technology, Wuhan, China

Publisher

Informa UK Limited

Subject

Industrial and Manufacturing Engineering,Management Science and Operations Research,Strategy and Management

Link

https://www.tandfonline.com/doi/pdf/10.1080/00207543.2016.1229068

Reference65 articles.

1. Improved linear programming-based lower bounds for the quadratic assignment problem

2. A multi-objective approach to facility layout problem by genetic search algorithm and Electre method

3. A multi objective genetic algorithm for the facility layout problem based upon slicing structure encoding

4. Approximating the maximum quadratic assignment problem

5. Unequal-area stochastic facility layout problems: solutions using improved covariance matrix adaptation evolution strategy, particle swarm optimisation, and genetic algorithm

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4. Integrating multi-agent reinforcement learning and 3D A* search for facility layout problem considering connector-assembly;Journal of Intelligent Manufacturing;2023-09-27

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