Screen LibraryInnovative computational intelligence : a rough guide to 134 clever algorithms /
"The present book Innovative Computational Intelligence: A Rough Guide to 134 Clever Algorithms is compilation of recent trends in computational intelligence (CI) research using inspiration from various sources such as biology, physics, chemistry, and mathematics. Innovative CI, unlike its coun...
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| Main Authors: | |
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| Group Author: | |
| Published: |
Springer,
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| Publisher Address: | Cham : |
| Publication Dates: | [2014] |
| Literature type: | Book |
| Language: | English |
| Series: |
Intelligent systems reference library,
62 |
| Subjects: | |
| Summary: |
"The present book Innovative Computational Intelligence: A Rough Guide to 134 Clever Algorithms is compilation of recent trends in computational intelligence (CI) research using inspiration from various sources such as biology, physics, chemistry, and mathematics. Innovative CI, unlike its counterparts, i.e., highly developed and refined traditional CI, is a new CI category introduced in the present book. The major notable feature of this book is its innovation and comprehensiveness: 134 new paradigms of CI are covered and most of them are usually spread over a number of unrelated publishing directions. This book is useful to multidisciplinary students including such as aeronautic engineering, mechanical engineering, industrial engineering, electrical and electronic engineering, chemical engineering, computer science, applied mathematics, physics, economy, biology, and social science, particularly those pursuing postgraduate studies in advanced subjects. Moreover, the algorithms introduced in this book can motivate researchers to further develop more efficient and effective algorithms in dealing with many cutting-edge challenges that may sit on the periphery of their present fields of interest. Finally, practitioners can also use the models presented in this book as a starting point to solve and analyse specific real-world problems. The book is carefully written to achieve a good balance between the theoretical depth and the comprehensiveness of the innovative CI paradigms."-- |
| Carrier Form: | xxxix, 451 pages ; 25 cm. |
| Bibliography: | Includes bibliographical references. |
| ISBN: |
9783319034034 (hardback : acid-free paper) : 3319034030 (hardback : acid-free paper) |
| Index Number: | Q342 |
| CLC: |
TP31 TP18 |
| Call Number: | TP18/X6-2 |
| Contents: | Part I. Introduction : Introduction to computational intelligence -- Part II. Biology-based CI algorithms : Bacteria inspired algorithms ; Bat inspired algorithms ; Bee inspired algorithms ; Biogeography-based optimization algorithm ; Cat swarm optimization algorithm ; Cuckoo inspired algorithms ; Luminous insect inspired algorithms ; Fish inspired algorithms ; Frog inspired algorithms ; Fruit fly optimization algorithm ; Group search optimizer algorithm ; Invasive weed optimization algorithm ; Music inspired algorithms ; Imperialist competitive algorithm ; Teaching-learning-based optimization algorithm ; Emerging biology-based CI algorithms -- Part III. Physics-based CI algorithms : Big Bang-Big Crunch algorithm ; Central force optimization algorithm ; Charged system search algorithm ; Electromagnetism-like mechanism algorithm ; Gravitational search algorithm ; Intelligent water drops algorithm ; Emerging physics-based CI algorithms -- Part IV. Chemistry-based CI algorithms : Chemical-reaction optimization algorithm ; Emerging chemistry-based CI algorithms -- Part V. Mathematics-based CI algorithms : Base optimization algorithm ; Emerging mathematics-based algorithms. |