Journal article
A multi-objective bi-level location planning problem for stone industrial parks
Computers & operations research, v 56, pp 8-21
01 Apr 2015
Abstract
This paper focuses on a stone industrial park location problem with a hierarchical structure consisting of a local government and several stone enterprises under a random environment. In contrast to previous studies, conflicts between the local authority and the stone enterprises are considered. The local government, being the leader in the hierarchy, aims to minimize both total pollution emissions and total development and operating costs. The stone enterprises, as the followers in the hierarchy, only aim to minimize total costs. In addition, unit production cost and unit transportation cost are considered random variables. This complicated multi-objective bi-level optimization problem poses several challenges, including randomness, two-level decision making, conflicting objectives, and difficulty in searching for the optimal solutions. Various approaches are employed to tackle these challenges. In order to make the model trackable, expected value operator is used to deal with the random variables in the objective functions and a chance constraint-checking method is employed to deal with such variables in the constraints. The problem is solved using a bi-level interactive method based on a satisfactory solution and Adaptive Chaotic Particle Swarm Optimization (ACPSO). Finally, a case study is conducted to demonstrate the practicality and efficiency of the proposed model and solution algorithm. The performance of the proposed bi-level model and ACPSO algorithm was highlighted by comparing to a single-level model and basic PSO and GA algorithms. (C) 2014 Elsevier Ltd. All rights reserved.
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Details
- Title
- A multi-objective bi-level location planning problem for stone industrial parks
- Creators
- Jun Gang - Sichuan Institute of Building ResearchYan Tu - Drexel UniversityBenjamin Lev - Drexel UniversityJiuping Xu - Sichuan UniversityWenjing Shen - Drexel UniversityLiming Yao - Sichuan University
- Publication Details
- Computers & operations research, v 56, pp 8-21
- Publisher
- Elsevier
- Number of pages
- 14
- Grant note
- China Scholarship Council for one-year study at Drexel University; China Scholarship Council 70831005 / National Science Foundation for the Key Program of NSFC 13XJC630018 / Western and Frontier Region Project of Humanity and Social Sciences Research, Ministry of Education of China; Ministry of Education, China 71301109 / National Natural Science Foundation of China; National Natural Science Foundation of China (NSFC)
- Resource Type
- Journal article
- Language
- English
- Academic Unit
- Decision Sciences (and Management Information Systems)
- Web of Science ID
- WOS:000348893600002
- Scopus ID
- 2-s2.0-84912003581
- Other Identifier
- 991019169810204721
InCites Highlights
Data related to this publication, from InCites Benchmarking & Analytics tool:
- Collaboration types
- Domestic collaboration
- International collaboration
- Web of Science research areas
- Computer Science, Interdisciplinary Applications
- Engineering, Industrial
- Operations Research & Management Science