Bookcover of Multi-objective Optimization
Booktitle:

Multi-objective Optimization

Multi-objective Ant Colony Optimization for Multi-objective Quadratic Assignment Problem

LAP LAMBERT Academic Publishing (2012-09-25 )

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ISBN-13:

978-3-659-24474-2

ISBN-10:
3659244740
EAN:
9783659244742
Book language:
English
Blurb/Shorttext:
The Quadratic Assignment Problem (QAP) described as the problem of assigning a set of facilities to a set of locations. In multi-objective case of QAP more than one flow of items between facilities are considered. The goal is to place the facilities on locations such that the sum of the products between flows and distances is minimal. Multi-objective Ant-Q Algorithm (MOAQ) is an Ant-Q Algorithm that can solve multi-objective optimization problems. MOAQ considers family of agents for each objective function. External-Memory-Based MOAQ Algorithms are introduced to improve performance of MOAQ Algorithm. External Memories are used to keep variable size solution segments or partial permutation sequences from elite solutions that are constructed at the beginning of algorithm. After this initialization phase, a particular ant retrieves a segment or partial permutation sequence from external-memory and constructs solution according to selected segment or partial permutation sequence. External-Memory-Based MOAQ Algorithms are tested using mQAP instances.
Publishing house:
LAP LAMBERT Academic Publishing
Website:
https://www.lap-publishing.com/
By (author) :
Serap Çatalbaş
Number of pages:
84
Published on:
2012-09-25
Stock:
Available
Category:
Informatics
Price:
49.00 €
Keywords:
quadratic assignment problem, Pareto, Ant Colony Optimization (ACO), Multi-objective Optimization (MOO)

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