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IJSTR >> Volume 8 - Issue 4, April 2019 Edition



International Journal of Scientific & Technology Research  
International Journal of Scientific & Technology Research

Website: http://www.ijstr.org

ISSN 2277-8616



Improved Evolutionary Optimization Approach For Solving The Multi-Objective Facility Location Problem

[Full Text]

 

AUTHOR(S)

Ahmed A.A. Zakzouk, Mohamed S.A. Osman, Ramadan A. Zeaneddin, Hamdeen A. Khalifa

 

KEYWORDS

Multi-objective Optimization, Facility Location Problem, Big Bang Big Crunch, Pigeon Inspired Optimization, Evolutionary Optimization.

 

ABSTRACT

This paper presents hybrid approach consists of three metaheuristic techniques which are Evolutionary Optimization with two efficient metaheuristic techniques for solving the multi-objective facility location problem. The target is to put a good network design of creating new IT centers as endpoints connected with the main datacenter in an educational organization minimizing the number of threats and risks through the network segments. Also minimizing the consumed runtime of travelled packets through this network and minimizing the total required distances to build this design. Furthermore it, a system was designed and developed to help in solving the complicated calculations of this problem. Finally, a comparison study is carried out to compare the hybrid approach techniques performance and results which support the expansion of the designed network.

 

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