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Carte Multi-objective Optimization Serap Çatalbas

Multi-objective Optimization

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

Autor: Serap Çatalbas
Limbă: engleză
Legare: Carte broșată
Editura: LAP Lambert Academic Publishing
Disponibilitate: În depozitul extern
Expediem în 5-8 zile
235.31 lei
The Quadratic Assignment Problem (QAP) described as the problem of assigning a set of facilities to...

Informații despre carte

Autor
Serap Çatalbas
Limbă
engleză
Legare
Carte - Carte broșată
Publicat
2012
Pagini
84
EAN
9783659244742
Enbook ID
06845724
Editura
LAP Lambert Academic Publishing
Greutate
143
Dimensiuni
150 x 220 x 5

Descriere completă

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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