Quadratic Assignment Problem (Paperback)


High Quality Content by WIKIPEDIA articles! The quadratic assignment problem (QAP) is one of fundamental combinatorial optimization problems in the branch of optimization or operations research in mathematics, from the category of the facilities location problems. The problem models the following real-life problem: There are a set of n facilities and a set of n locations. For each pair of locations, a distance is specified and for each pair of facilities a weight or flow is specified (e.g., the amount of supplies transported between the two facilities). The problem is to assign all facilities to different locations with the goal of minimizing the sum of the distances multiplied by the corresponding flows. The problem statement resembles that of the assignment problem, only the cost function is expressed in terms of quadratic inequalities, hence the name.

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Product Description

High Quality Content by WIKIPEDIA articles! The quadratic assignment problem (QAP) is one of fundamental combinatorial optimization problems in the branch of optimization or operations research in mathematics, from the category of the facilities location problems. The problem models the following real-life problem: There are a set of n facilities and a set of n locations. For each pair of locations, a distance is specified and for each pair of facilities a weight or flow is specified (e.g., the amount of supplies transported between the two facilities). The problem is to assign all facilities to different locations with the goal of minimizing the sum of the distances multiplied by the corresponding flows. The problem statement resembles that of the assignment problem, only the cost function is expressed in terms of quadratic inequalities, hence the name.

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Product Details

General

Imprint

Betascript Publishing

Country of origin

United States

Release date

August 2010

Availability

Supplier out of stock. If you add this item to your wish list we will let you know when it becomes available.

First published

August 2010

Editors

, ,

Dimensions

152 x 229 x 8mm (L x W x T)

Format

Paperback - Trade

Pages

132

ISBN-13

978-6131260179

Barcode

9786131260179

Categories

LSN

6131260176



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