Evolutionary Computation for Dynamic Optimization Problems
By: edited by Shengxiang Yang, Xin Yao
Contributors: Yao, Xin; SpringerLink (Online service)
Series: Studies in Computational Intelligence -- 490
Publisher: Springer Berlin Heidelberg; Imprint: Springer
Published: 2013
Place of publication: Berlin, Heidelberg
Language: eng
Format: [electronic resource] /
Number of pages: 470
ISBN-13: 9783642384165
Subjects: Engineering; Computational intelligence; Artificial intelligence; Artificial Intelligence (incl. Robotics)
Description: This book provides a compilation on the state-of-the-art and recent advances of evolutionary computation for dynamic optimization problems. The motivation for this book arises from the fact that many real-world optimization problems and engineering systems are subject to dynamic environments, where changes occur over time. Key issues for addressing dynamic optimization problems in evolutionary computation, including fundamentals, algorithm design, theoretical analysis, and real-world applications, are presented. "Evolutionary Computation for Dynamic Optimization Problems" is a valuable reference to scientists, researchers, professionals and students in the field of engineering and science, particularly in the areas of computational intelligence, nature- and bio-inspired computing, and evolutionary computation.
Table of contents: title: Part I Fundamentals; title: Part II Algorithm Design; title: Part III Theoretical Analysis.