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Multi-Objective Optimization Problems

Name: Multi-Objective Optimization Problems
Brand: Springer
SKU: 41040486
Price: 23682 HUF
Availability: InStock
Author: Fran Sergio Lobato
ISBN: 9783319585659

Concepts and Self-Adaptive Parameters with Mathematical and Engineering Applications

Fran Sergio Lobato

Valder Steffen Jr.

Language

English

E-book Adobe ePub DRM

Libristo code: 41040486

Publishers Springer, July 2017

This book is aimed at undergraduate and graduate students in applied mathematics or computer science... Full description

Libristo code: 41040486

161 b

23 682 Ft

In stock Immediate digital delivery

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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.