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Developing A Combined Strategy For Solving Quadratic Assignment Problem

Faiz Ahyaningsih, Opim Salim Sitompul

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Abstract

The quadratic assigment problem (QAP) is one of the most interesting and most challenging combinatorial optimization problems in existence. In this paper we propose a random point strategy to get a starting point, and then we use a combination methods to get ‗optimal‘ solution. As a computational experience we‘ve solved QAP 30 x 30 adopted from Nugent and backboard wiring problem 42  42, adopted from Skorin-Kapov.

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What this paper is about

The quadratic assigment problem (QAP) is one of the most interesting and most challenging combinatorial optimization problems in existence. In this paper we propose a random point strategy to get a starting point, and then we use a combination methods to get ‗optimal‘ solution. As a computational experience we‘ve solved QAP 30 x 30 adopted from Nugent and backboard wiring problem 42  42, adopted from Skorin-Kapov.

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Available abstract

The quadratic assigment problem (QAP) is one of the most interesting and most challenging combinatorial optimization problems in existence. In this paper we propose a random point strategy to get a starting point, and then we use a combination methods to get ‗optimal‘ solution. As a computational experience we‘ve solved QAP 30 x 30 adopted from Nugent and backboard wiring problem 42  42, adopted from Skorin-Kapov.

Key concepts: Quadratic assignment problem, Point (geometry), Mathematical optimization, Quadratic equation, Computer science, Optimization problem, Interior point method, Mathematics

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