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A bi-objective analysis of the r-all-neighbor p-center problem
Affiliation:1. Dept. of Industrial and Systems Engineering, Mississippi State University, Starkville, MS 39762, USA;2. Dept. of Industrial Engineering, University of Arkansas, Fayetteville, AR 72701, USA;1. Department of Physics, Jadavpur University, Jadavpur, Kolkata 700032, India;2. Department of Chemistry, Kazi Nazrul University, West Bengal 713340, India;3. Department of Chemistry, University of Kalyani, West Bengal 741235, India;1. The State Key Laboratory for Manufacturing Systems Engineering and the Systems Engineering Institute, Xi’an Jiaotong University, Xi’an 710049, PR China;2. Department of Applied Mathematics, Xi’an Jiaotong University, Xi’an 710049, PR China;1. The School of Industrial and System Engineering, The University of Oklahoma, Norman, OK, USA;2. Department of Management, Kingston Business School, Kingston University, Kingston Hill, Kingston Upon Thames, Surrey KT2 7LB, UK;1. Collaborative Autonomic Computing Laboratory, School of Computer Science, University of Electronic Science and Technology of China, China;2. The Israel Electric Corporation, P.O. Box 10, Haifa 31000, Israel;3. University of Massachusetts, Dartmouth, MA 02747, USA;1. College of Engineering, Swansea University, Swansea SA2 8PP, United Kingdom;2. p-matrix Ltd., Swansea SA2 7PD, United Kingdom
Abstract:
Keywords:Facility location  Interdiction  Mixed-integer programming  Bi-objective programming  Disruptions  Risk assessment
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