Multi-Objective Optimization Problems

Concepts and Self-Adaptive Parameters with Mathematical and Engineering Applications

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Éditeur :

Springer


Collection :

SpringerBriefs in Mathematics

Paru le : 2017-07-03



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Description

This book is aimed at undergraduate and graduate students in applied mathematics or computer science, as a tool for solving real-world design problems. The present work covers fundamentals in multi-objective optimization and applications in mathematical and engineering system design using a new optimization strategy, namely the Self-Adaptive Multi-objective Optimization Differential Evolution (SA-MODE) algorithm. This strategy is proposed in order to reduce the number of evaluations of the objective function through dynamic update of canonical Differential Evolution parameters (population size, crossover probability and perturbation rate). The methodology is applied to solve mathematical functions considering test cases from the literature and various engineering systems design, such as cantilevered beam design, biochemical reactor, crystallization process, machine tool spindle design, rotary dryer design, among others.
Pages
160 pages
Collection
SpringerBriefs in Mathematics
Parution
2017-07-03
Marque
Springer
EAN papier
9783319585642
EAN PDF
9783319585659

Informations sur l'ebook
Nombre pages copiables
1
Nombre pages imprimables
16
Taille du fichier
11018 Ko
Prix
58,01 €
EAN EPUB
9783319585659

Informations sur l'ebook
Nombre pages copiables
1
Nombre pages imprimables
16
Taille du fichier
2437 Ko
Prix
58,01 €