International Journal of Intelligent Information Systems
Volume 3, Issue 6-1, December 2014, Pages: 75-79
Received: Oct. 24, 2014;
Accepted: Oct. 27, 2014;
Published: Nov. 3, 2014
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Maryam Parhizgar, Department of Computer Engineering, Sience and Research Branch, Islamic Azad University, Qazvin, Iran
Farhad Mortezapour Shiri, Department of Computer Engineering, Sience and Research Branch, Islamic Azad University, Qazvin, Iran
The Quadratic Assignment Problem (QAP) is one of combinatorial optimization problems which devote some facilities to some locations. The aim of this problem is assignment of each facility to a location which minimizes total cost. Because the QAP is NP-hard, so it couldn’t be solved by exact methods. In recent years, meta-heuristic algorithms are used in solving NP-hard optimization problems increasingly. In this article Water Cycle Optimization Algorithms (WCO) is used to solve QAP. The implementation of proposed algorithms on standard test functions and also its result comparison with other meta-heuristics algorithms express algorithm`s desirable quality and its prominence to other meta-heuristics algorithms.
Farhad Mortezapour Shiri,
Solving Quadratic Assignment Problem Using Water Cycle Optimization Algorithm, International Journal of Intelligent Information Systems. Special Issue: Research and Practices in Information Systems and Technologies in Developing Countries.
Vol. 3, No. 6-1,
2014, pp. 75-79.
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