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ISRL: INNVTV CMPTTNL INTLLGNC: RGH GDE 134 CLVR ALGRTHM

Physics

Mathematics & Science

Gt Product Group

Binding Format

Marketing Imprint Name

B2B GT

CL Carton Count

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B2B & B2C

The first notable feature of this book is its innovation: Computational intelligence (CI), a fast evolving area, is currently attracting lots of researchers' attention in dealing with many complex problems. At present, there are quite a lot competing books existing in the market. Nevertheless, the present book is markedly different from the existing books in that it presents new paradigms of CI that have rarely mentioned before, as opposed to the traditional CI techniques or methodologies employed in other books. During the past decade, a number of new CI algorithms are proposed. Unfortunately, they spread in a number of unrelated publishing directions which may hamper the use of such published resources. These provide us with motivation to analyze the existing research for categorizing and synthesizing it in a meaningful manner. The mission of this book is really important since those algorithms are going to be a new revolution in computer science. We hope it will stimulate the readers to make novel contributions or even start a new paradigm based on nature phenomena. Although structured as a textbook, the book's straightforward, self-contained style will also appeal to a wide audience of professionals, researchers and independent learners. We believe that the book will be instrumental in initiating an integrated approach to complex problems by allowing cross-fertilization of design principles from different design philosophies.The second feature of this book is its comprehensiveness: Through an extensive literature research, there are 134 innovative CI algorithms covered in this book.

Innovative Computational Intelligence

POST SECONDARY FOUR YEAR

COLFR

COLSO

COLJR

COLSR

Duration

Duration Unit Of Measure

Transaction Type

Front Cover.
Editorial Board.
About This Series.
Title Page.
Copyright Page.
Foreword.
Foreword.
Preface.
Acknowledgments.
Contents.
Abbreviations.
Objective and Mission.
1: Introduction.
2: Introduction to Computational Intelligence.
3: Biology-Based CI Algorithms.
4: Bacteria Inspired Algorithms.
5: Bat Inspired Algorithms.
6: Bee Inspired Algorithms.
7: Biogeography-Based Optimization Algorithm.
8: Cat Swarm Optimization Algorithm.
9: Cuckoo Inspired Algorithms.
10: Luminous Insect Inspired Algorithms.
11: Fish Inspired Algorithms.
12: Frog Inspired Algorithms.
13: Fruit Fly Optimization Algorithm.
14: Group Search Optimizer Algorithm.
15: Invasive Weed Optimization Algorithm.
16: Music Inspired Algorithms.
17: Imperialist Competitive Algorithm.
18: Teaching&#x2013;Learning-Based Optimization Algorithm.
19: Emerging Biology-Based CI Algorithms.
20: Physics-Based CI Algorithms.
21: Big Bang&#x2013;Big Crunch Algorithm.
22: Central Force Optimization Algorithm.
23: Charged System Search Algorithm.
24: Electromagnetism-Like Mechanism Algorithm.
25: Gravitational Search Algorithm.
26: Intelligent Water Drops Algorithm.
27: Emerging Physics-Based CI Algorithms.
28: Chemistry-Based CI Algorithms.
29: Chemical-Reaction Optimization Algorithm.
30: Emerging Chemistry-Based CI Algorithms.
31: Mathematics-Based CI Algorithms.
32: Base Optimization Algorithm.
33: Emerging Mathematics-Based CI Algorithms.
Biographies.

Innovative Computational Intelligence.css-1p8rvzy{position:absolute;padding-left:8px;}

Innovative Computational Intelligence