Evolutionary Computation for Dynamic Optimization Problems

Shengxiang YANG; Xin YAO

doi:10.1007/978-3-642-38416-5

Evolutionary Computation for Dynamic Optimization Problems

Shengxiang YANG (Editor)
, Xin YAO (Editor)

Research output: Scholarly Books | Reports | Literary Works › Book (Editor) › Research › peer-review

Abstract

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.

Original language	English
Place of Publication	Heidelberg
Publisher	Springer
Number of pages	470
ISBN (Electronic)	9783642384165
ISBN (Print)	9783642384158, 9783642448430
DOIs	https://doi.org/10.1007/978-3-642-38416-5
Publication status	Published - 2013
Externally published	Yes

Publication series

Name	Studies in Computational Intelligence
Publisher	Springer
Volume	490
ISSN (Print)	1860-949X
ISSN (Electronic)	1860-9503

Access to Document

10.1007/978-3-642-38416-5

Dynamic multi-objective optimization: A survey of the state-of-the-art
RAQUEL, C. & YAO, X., 2013, Evolutionary Computation for Dynamic Optimization Problems. YANG, S. & YAO, X. (eds.). Springer, p. 85-106 22 p. (Studies in Computational Intelligence; vol. 490).
Research output: Book Chapters | Papers in Conference Proceedings › Book Chapter › Research › peer-review
65 Link opens in a new tab Citations (Scopus)
Evolutionary computation for dynamic capacitated arc routing problem
MEI, Y., TANG, K. & YAO, X., 2013, Evolutionary Computation for Dynamic Optimization Problems. YANG, S. & YAO, X. (eds.). Springer, p. 377-401 25 p. (Studies in Computational Intelligence; vol. 490).
Research output: Book Chapters | Papers in Conference Proceedings › Book Chapter › Research › peer-review
9 Link opens in a new tab Citations (Scopus)
Evolutionary dynamic optimization: Challenges and perspectives
ROHLFSHAGEN, P. & YAO, X., 2013, Evolutionary Computation for Dynamic Optimization Problems. YANG, S. & YAO, X. (eds.). Springer, p. 65-84 20 p. (Studies in Computational Intelligence; vol. 490).
Research output: Book Chapters | Papers in Conference Proceedings › Book Chapter › Research › peer-review
6 Link opens in a new tab Citations (Scopus)

Cite this

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title = "Evolutionary Computation for Dynamic Optimization Problems",

abstract = "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.",

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AB - 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.

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Evolutionary Computation for Dynamic Optimization Problems

Abstract

Publication series

Access to Document

Fingerprint

Research output

Dynamic multi-objective optimization: A survey of the state-of-the-art

Evolutionary computation for dynamic capacitated arc routing problem

Evolutionary dynamic optimization: Challenges and perspectives

Cite this