A SOLUTION APPROACH FOR MULTI-CRITERIA GRADUAL COVERING LOCATION PROBLEM USING SIMULATED ANNEALING AND ARTIFICIAL NEURAL NETWORK

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BASHIRI MAHDI; GARMEYI YOONES

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Journal: Management Research in Iran Year:2014 | Volume:17 | Issue:4 Page(s): 25-41

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Title

A SOLUTION APPROACH FOR MULTI-CRITERIA GRADUAL COVERING LOCATION PROBLEM USING SIMULATED ANNEALING AND ARTIFICIAL NEURAL NETWORK

Author(s)

BASHIRI MAHDI | GARMEYI YOONES | Issue Writer Certificate

Keywords

GRADUAL COVERINGQ2

ARTIFICIAL NEURAL NETWORKQ2

SIMULATED ANNEALINGQ1

Abstract

In traditional covering problem, the covering level of receiving the services is independent of distances between nodes and facilities. However, in GRADUAL COVERING location problem (GCLP), the covering objective depends on the distance of customers from the service centers. Hence, increasing in customer-facility distances will result in decreasing of the covering level. In most of covering problems, researchers only consider the distance factor.However; in the real word, there are some other important elements such as population, availability, distance and others, which affect the location of service centers. Increasing the number of demand nodes and criteria will result in increasing of the nodes´ evaluating computational time and inconsistency rate. This paper proposes a combined approach of SIMULATED ANNEALING (SA) and ARTIFICIAL NEURAL NETWORK (ANN) to solve the multicriteria GCLP. In the presence of few nodes, the score of nodes is calculated using Analytic Hierarchy Process (AHP) method. Moreover, by increasing the number of nodes, the score of every node will be calculated using ANN instead of AHP. Statistical test of signed rank test shows that there is not a significant difference between the results of ANN and AHP methods.Comparison of results between the exact solution method and the proposed algorithm confirms the efficiency of the proposed solution approach.

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APA: Copy

BASHIRI, MAHDI, & GARMEYI, YOONES. (2014). A SOLUTION APPROACH FOR MULTI-CRITERIA GRADUAL COVERING LOCATION PROBLEM USING SIMULATED ANNEALING AND ARTIFICIAL NEURAL NETWORK. MANAGEMENT RESEARCH IN IRAN (MODARES HUMAN SCIENCES), 17(4), 25-41. SID. https://sid.ir/paper/403390/en

Vancouver: Copy

BASHIRI MAHDI, GARMEYI YOONES. A SOLUTION APPROACH FOR MULTI-CRITERIA GRADUAL COVERING LOCATION PROBLEM USING SIMULATED ANNEALING AND ARTIFICIAL NEURAL NETWORK. MANAGEMENT RESEARCH IN IRAN (MODARES HUMAN SCIENCES)[Internet]. 2014;17(4):25-41. Available from: https://sid.ir/paper/403390/en

IEEE: Copy

MAHDI BASHIRI, and YOONES GARMEYI, “A SOLUTION APPROACH FOR MULTI-CRITERIA GRADUAL COVERING LOCATION PROBLEM USING SIMULATED ANNEALING AND ARTIFICIAL NEURAL NETWORK,” MANAGEMENT RESEARCH IN IRAN (MODARES HUMAN SCIENCES), vol. 17, no. 4, pp. 25–41, 2014, [Online]. Available: https://sid.ir/paper/403390/en

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