Recent advances in simulated evolution and learning

Author(s)

    • Tan, Kay Chen

Bibliographic Information

Recent advances in simulated evolution and learning

editors, Kay Chen Tan ... [et al.]

(Advances in natural computation, v. 2)

World Scientific, c2004

Available at  / 9 libraries

Search this Book/Journal

Note

Includes bibliographical references

Description and Table of Contents

Description

Inspired by the Darwinian framework of evolution through natural selection and adaptation, the field of evolutionary computation has been growing very rapidly, and is today involved in many diverse application areas. This book covers the latest advances in the theories, algorithms, and applications of simulated evolution and learning techniques. It provides insights into different evolutionary computation techniques and their applications in domains such as scheduling, control and power, robotics, signal processing, and bioinformatics. The book will be of significant value to all postgraduates, research scientists and practitioners dealing with evolutionary computation or complex real-world problems.This book has been selected for coverage in:• Index to Scientific & Technical Proceedings (ISTP CDROM version / ISI Proceedings)• CC Proceedings — Engineering & Physical Sciences

by "Nielsen BookData"

Related Books: 1-1 of 1

Details

  • NCID
    BA68903082
  • ISBN
    • 9812389520
  • Country Code
    si
  • Title Language Code
    eng
  • Text Language Code
    eng
  • Place of Publication
    Singapore
  • Pages/Volumes
    xii, 820 p.
  • Size
    24 cm
  • Parent Bibliography ID
Page Top