Description: Multi-Objective Optimization Problems Please note: this item is printed on demand and will take extra time before it can be dispatched to you (up to 20 working days). Concepts and Self-Adaptive Parameters with Mathematical and Engineering Applications Author(s): Fran S?rgio Lobato, Valder Steffen Jr. Format: Paperback Publisher: Springer International Publishing AG, Switzerland Imprint: Springer International Publishing AG ISBN-13: 9783319585642, 978-3319585642 Synopsis 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.
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Book Title: Multi-Objective Optimization Problems
Subject Area: Mechanical Engineering
Item Height: 235 mm
Item Width: 155 mm
Series: Springerbriefs in Mathematics
Author: Valder Steffen Jr., Fran Sergio Lobato
Publication Name: Multi-Objective Optimization Problems: Concepts and Self-Adaptive Parameters with Mathematical and Engineering Applications
Format: Paperback
Language: English
Publisher: Springer International Publishing A&G
Subject: Mathematics
Publication Year: 2017
Type: Textbook
Item Weight: 2818 g
Number of Pages: 160 Pages
