Hybrid genetic algorithm for network locating problem by considering multi-purpose trip in stochastic state

In this paper, the locating problem was studied by considering a network of nodes and edges, and also two types of facilities which were defined for locating on nodes. It was assumed that there were three types of consumers, which were classified according to their demands. The first and the second...

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Bibliographic Details
Published in:Indian journal of science and technology 2011-09, Vol.4 (9), p.1109-1112
Main Author: Najafi, Sajjad
Format: Article
Language:English
Subjects:
Consumers
Genetic algorithms
Indian
Marketing
Markets
Networks
Positioning
Stochasticity
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Summary:In this paper, the locating problem was studied by considering a network of nodes and edges, and also two types of facilities which were defined for locating on nodes. It was assumed that there were three types of consumers, which were classified according to their demands. The first and the second types of them referred to one facility of the first or the second, but the third type of consumers needed the two facilities-the first and the second. These consumers according to their distance to the facilities based on a specified probability, referred to the facilities and solved their problems. Considering the existence of competitors in the market, the aim of this issue is to maximize market share for the new facilities. To solve the problem the hybrid genetic algorithm was used.
ISSN:0974-6846
0974-5645
DOI:10.17485/ijst/2011/v4i9.23