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Title Advances in Swarm Intelligence for Optimizing Problems in Computer Science / edited by Anand Nayyar, Dac-Nhuong Le and Nhu Gia Nguyen
Edition First edition
Published Boca Raton, FL : Chapman and Hall/CRC, [2018]
©2019

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Description 1 online resource (314 pages) : 54 illustrations, text file, PDF
Contents -- Contributors xiii -- Preface xv -- 1. Evolutionary Computation: Theory and Algorithm -- Anand Nayyar, Surbhi Garg, Deepak Gupta, and Ashish Khanna -- 1.1 History of Evolutionary Computatio -- 1.2 Motivation via Biological Evidenc. 3 -- 1.3 Why Evolutionary Computing?.5 -- 1.4 Concept of Evolutionary Algorithms .6 -- 1.5 Components of Evolutionary Algorithm -- 1.6 Working of Evolutionary Algorithm. .13 -- 1.7 Evolutionary Computation Techniques and Paradigms. 15 -- 1.8 Applications of Evolutionary Computin . .21 -- 1.9 Conclusio. 23 -- Reference23 -- 2. Genetic Algorithm. 27 -- Sandeep Kumar, Sanjay Jain, and Harish Sharma -- 2.1 Overview of Genetic Algorithms .27 -- 2.2 Genetic Optimization. 32 -- 2.3 Derivation of Simple Genetic Algorith. 39 -- 2.4 Genetic Algorithms vs. Other Optimization Technique. 43 -- 2.5 Pros and Cons of Genetic Algorithms. 45 -- 2.6 Hybrid Genetic Algorithm. 45 -- 2.7 Possible Applications of Computer Science via Genetic -- Algorithm. 46 -- 2.8 Conclusio. 47 -- Reference48 -- 3. Introduction to Swarm Intelligence. 53 -- Anand Nayyar and Nhu Gia Nguyen -- 3.1 Biological Foundations of Swarm Intelligenc. 53 -- 3.2 Metaheuristic. .56 -- 3.3 Concept of Swar. 62 -- 3.4 Collective Intelligence of Natural Animals. 64 -- 3.5 Concept of Self-Organization in Social Insects. 68 -- 3.6 Adaptability and Diversity in Swarm Intelligenc. .70 -- 3.7 Issues Concerning Swarm Intelligenc. .71 -- 3.8 Future Swarm Intelligence in Robotics Swarm Robotic. 73 -- 3.9 Conclusio. 75 -- Reference75 -- 4. Ant Colony Optimizatio. 79 -- Bandana Mahapatra and Srikanta Pattnaik -- 4.1 Introductio. 80 -- 4.2 Concept of Artificial Ant. .81 -- 4.3 Foraging Behaviour of Ants and Estimating Effective Path83 -- 4.4 ACO Metaheuristic. 87 -- 4.5 ACO Applied Toward Travelling Salesperson Problem. 91 -- 4.6 ACO Framewor. 93 -- 4.7 The Ant Algorith. 95 -- 4.8 Comparison of Ant Colony Optimization Algorithm. 97 -- 4.9 ACO for NP Hard Problems. 102 -- 4.10 Current Trends in ACO. .105 -- 4.11 Application of ACO in Different Field. 106 -- 4.12 Conclusio. 109 -- Reference109 -- 5. Particle Swarm Optimizatio. 115 -- Shanthi M.B., D. Komagal Meenakshi, and Prem Kumar Ramesh -- 5.1 Particle Swarm Optimization Basic Concept. 116 -- 5.2 PSO Variants. 118 -- 5.3 Particle Swarm Optimization (PSO) Advanced Concept134 -- 5.4 Applications of PSO in Various Engineering Domains. 139 -- 5.5 Conclusio. 141 -- Reference141 -- 6. Artificial Bee Colony, Firefly Swarm Optimization, and Bat -- Algorithm. 145 -- Sandeep Kumar and Rajani Kumari -- 6.1 Introductio. .146 -- 6.2 The Artificial Bee Colony Algorithm. 147 -- 6.3 The Firefly Algorith. 163 -- 6.4 The Bat Algorith. 170 -- x Contents -- 6.5 Conclusio. 177 -- Reference178 -- 7. Cuckoo Search Algorithm, Glowworm Algorithm, -- WASP, and Fish Swarm Optimizatio. 183 -- Akshi Kumar -- 7.1 Introduction to Optimizatio. 184 -- 7.2 Cuckoo Searc. 186 -- 7.3 Glowworm Algorithm. .200 -- 7.4 Wasp Swarm Optimizatio. 208 -- 7.5 Fish Swarm Optimization. 213 -- 7.6 Conclusio. 221 -- Reference221 -- 8. Misc. Swarm Intelligence Technique. 225 -- M. Balamurugan, S. Narendiran, and Sarat Kumar Sahoo -- 8.1 Introductio. .226 -- 8.2 Termite Hill Algorith. 227 -- 8.3 Cockroach Swarm Optimizatio. 230 -- 8.4 Bumblebee Algorith. 232 -- 8.5 Social Spider Optimization Algorith. 234 -- 8.6 Cat Swarm Optimizatio. .237 -- 8.7 Monkey Search Algorith. 239 -- 8.8 Intelligent Water Dro. 241 -- 8.9 Dolphin Echolocatio. 242 -- 8.10 Biogeography-Based Optimizatio. 244 -- 8.11 Paddy Field Algorith. 247 -- 8.12 Weightless Swarm Algorith. 248 -- 8.13 Eagle Strategy. 249 -- 8.14 Conclusio. 250 -- Reference251 -- 9. Swarm Intelligence Techniques for Optimizing Problems. 253 -- K. Vikram and Sarat Kumar Sahoo -- 9.1 Introductio. .253 -- 9.2 Swarm Intelligence for Communication Networks. 254 -- 9.3 Swarm Intelligence in Robotic. 257 -- 9.4 Swarm Intelligence in Data Mining. .261 -- 9.5 Swarm Intelligence and Big Data. 264 -- 9.6 Swarm Intelligence in Artificial Intelligence (AI. 268 -- 9.7 Swarm Intelligence and the Internet of Things (IoT. 270 -- 9.8 Conclusio. 273 -- Reference273 -- Inde. 274
Summary This book provides comprehensive details of all Swarm Intelligence based Techniques available till date in a comprehensive manner along with their mathematical proofs. It will act as a foundation for authors, researchers and industry professionals. This monograph will present the latest state of the art research being done on varied Intelligent Technologies like sensor networks, machine learning, optical fiber communications, digital signal processing, image processing and many more
Bibliography Includes bibliographical references and index
Subject Swarm intelligence.
MATHEMATICS -- General.
TECHNOLOGY & ENGINEERING -- Electronics -- General.
Computer Based Optimization Techniques.
Evolutionary Computation.
Nature Based Computing.
Swarm intelligence
Form Electronic book
Author Nayyar, Anand, editor
Le, Dac-Nhuong, editor
Nguyen, Nhu Gia, editor
ISBN 9780429445927
042944592X
9780429820151
0429820151
9780429820168
042982016X
9780429820144
0429820143