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Title:Solving uncapacitated facility location problem using monkey algorithm
Authors:ID Atta, Soumen, Department of Computer Science and Engineering, University of Kalyani, Nadia, W.B., India (Author)
ID Sinha Mahapatra, Priya Ranjan, Department of Computer Science and Engineering, University of Kalyani, Nadia, W.B., India (Author)
ID Mukhopadhyay, Anirban, Department of Computer Science and Engineering, University of Kalyani, Nadia, W.B., India (Author)
Files: This document has no files that are freely available to the public. This document may have a physical copy in the library of the organization, check the status via COBISS. Link is opened in a new window
Language:English
Work type:Not categorized
Typology:1.08 - Published Scientific Conference Contribution
Organization:UNG - University of Nova Gorica
Abstract:The Uncapacitated Facility Location Problem (UFLP) is considered in this paper. Given a set of customers and a set of potential facility locations, the objective of UFLP is to open a subset of facilities to satisfy the demands of all the customers such that the sum of the opening cost for the opened facilities and the service cost is minimized. UFLP is a well-known combinatorial optimization problem which is also NP-hard. So, a metaheuristic algorithm for solving this problem is natural choice. In this paper, a relatively new swarm intelligence-based algorithm known as the Monkey Algorithm (MA) is applied to solve UFLP. To validate the efficiency of the proposed binary MA-based algorithm, experiments are carried out with various data instances of UFLP taken from the OR-Library and the results are compared with those of the Firefly Algorithm (FA) and the Artificial Bee Colony (ABC) algorithm.
Keywords:Uncapacitated Facility Location Problem (UFLP), Simple Plant Location Problem (SPLP), Warehouse Location Problem (WLP), Monkey Algorithm
Publication status:Published
Year of publishing:2018
Number of pages:71-78
PID:20.500.12556/RUNG-8149 New window
COBISS.SI-ID:149331459 New window
DOI:https://doi.org/10.1007/978-981-10-7566-7_8 New window
NUK URN:URN:SI:UNG:REP:XKOCBJVD
Publication date in RUNG:17.04.2023
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Record is a part of a monograph

Title:6th International Conference on Frontiers in Intelligent Computing: Theory and Applications
Place of publishing:Bhubaneswar, India
Publisher:Springer
Year of publishing:2018
ISBN:978-981-10-7565-0

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