Evolutionary Computation for Dynamic Optimization Problems

Download or Read eBook Evolutionary Computation for Dynamic Optimization Problems PDF written by Shengxiang Yang and published by Springer. This book was released on 2013-11-18 with total page 479 pages. Available in PDF, EPUB and Kindle.
Evolutionary Computation for Dynamic Optimization Problems
Author :
Publisher : Springer
Total Pages : 479
Release :
ISBN-10 : 9783642384165
ISBN-13 : 3642384161
Rating : 4/5 (65 Downloads)

Book Synopsis Evolutionary Computation for Dynamic Optimization Problems by : Shengxiang Yang

Book excerpt: 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.


Evolutionary Computation for Dynamic Optimization Problems Related Books

Evolutionary Computation for Dynamic Optimization Problems
Language: en
Pages: 479
Authors: Shengxiang Yang
Categories: Technology & Engineering
Type: BOOK - Published: 2013-11-18 - Publisher: Springer

DOWNLOAD EBOOK

This book provides a compilation on the state-of-the-art and recent advances of evolutionary computation for dynamic optimization problems. The motivation for t
Evolutionary Optimization in Dynamic Environments
Language: en
Pages: 217
Authors: Jürgen Branke
Categories: Computers
Type: BOOK - Published: 2012-12-06 - Publisher: Springer Science & Business Media

DOWNLOAD EBOOK

Evolutionary Algorithms (EAs) have grown into a mature field of research in optimization, and have proven to be effective and robust problem solvers for a broad
Advances in Evolutionary Computing
Language: en
Pages: 1001
Authors: Ashish Ghosh
Categories: Computers
Type: BOOK - Published: 2012-12-06 - Publisher: Springer Science & Business Media

DOWNLOAD EBOOK

This book provides a collection of fourty articles containing new material on both theoretical aspects of Evolutionary Computing (EC), and demonstrating the use
Evolutionary Optimization Algorithms
Language: en
Pages: 776
Authors: Dan Simon
Categories: Mathematics
Type: BOOK - Published: 2013-06-13 - Publisher: John Wiley & Sons

DOWNLOAD EBOOK

A clear and lucid bottom-up approach to the basic principles of evolutionary algorithms Evolutionary algorithms (EAs) are a type of artificial intelligence. EAs
Theory of Evolutionary Computation
Language: en
Pages: 527
Authors: Benjamin Doerr
Categories: Computers
Type: BOOK - Published: 2019-11-20 - Publisher: Springer Nature

DOWNLOAD EBOOK

This edited book reports on recent developments in the theory of evolutionary computation, or more generally the domain of randomized search heuristics. It star