Multi-objective Optimization

Name: Multi-objective Optimization
Brand: LAP Lambert Academic Publishing
SKU: 9783659244742
Price: 967 CZK
Availability: InStock

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

Autor: Serap Çatalbas

Jazyk:

Vazba: Brožovaná

Vydavatel: LAP Lambert Academic Publishing

Dostupnost: Skladem u dodavatele

Odesíláme za 5-8 dnů

967 Kč

The Quadratic Assignment Problem (QAP) described as the problem of assigning a set of facilities to...

Informace o knize

Autor

Serap Çatalbas

Jazyk

Angličtina

Vazba

Kniha - Brožovaná

Vydáno

2012

Stránek

EAN

9783659244742

Enbook ID

06845724

Vydavatel

LAP Lambert Academic Publishing

Hmotnost

143

Rozměry

150 x 220 x 5

Kompletní popis

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.

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Multi-objective Optimization

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

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