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A DISTRIBUTED GENETIC ALGORITM AND A-PRIORI ALGORITHM FOR THE HUB AND FACILITY LOCATION PROBLEMS

Muhammad Naeem1*, Sahib Khan2, Nasir Ahmad3

1* Department of Computer Science, University of Peshawar, Pakistan.
2 Department of Electronics and Telecommunication, Politecnico Di Torino, Turin, Italy.
3 Department of Electronic and Electrical Engineering, Loughborough University, UK.

ABSTRACT

A-priori is an influential data mining algorithm employed in market basket analysis to understand the purchase
behavior of buyers. It has many other applications. In this study, we combine a-priori with a genetic algorithm (GA)
to solve two classical NP-hard location problems namely the Un-capacitated Single Allocation Problem (USAHLP)
and Un-capacitated Facility Location Problem (UFLP). A distributed model of the proposed algorithm has been
implemented. The performance of the algorithm has been evaluated with standard benchmark problems for USAHLP
and UFLP. Results have been found encouraging.

 

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Journal of Engineering and Applied Sciences

June

Vol. 39, Iss. 1, pp. 01-126

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