Journal Paper

Paper Information

Journal: امیرکبیر
Year:1381 | Volume:13 | Issue:51
Start Page:319 | End Page:330

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Title

QUADRATIC ASSIGNMENT PROBLEM USING NEURAL NETWORKS

Pages

 Start Page 319 | End Page 330

Abstract

NEURAL NETWORKS (NNs) are one of the meta-heuristics methods to solve complex problems. NNs have been able to solve combinatorial optimization problems in many cases successfully. Quadratic Assignment Problem (QAP) is an NP-hard combinatorial optimization problem. Some of QAP applications are: layout design, keyboard design, VLSI design and etc. Many approaches, so far, have been used to solve this kind of problems and one of them is NNs approach. In this study we suggest an algorithm based on Mean Field Theory (MFT), a kind of NNs with patts neurons. Computational results indicate that this algorithm produces better solutions in comparison with two previous NNs algorithms.

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