Swarm Intelligence: Principles, Advances, and Applications

ISBN-13: 9781498741064 / Angielski / Twarda / 2015 / 210 str.

Aboul-Ella Hassanien; Eid Emary

Opis

Swarm Intelligence: Principles, Advances, and Applications delivers in-depth coverage of bat, artificial fish swarm, firefly, cuckoo search, flower pollination, artificial bee colony, wolf search, and gray wolf optimization algorithms. The book begins with a brief introduction to mathematical optimization, addressing basic concepts related to swarm intelligence, such as randomness, random walks, and chaos theory. The text then:

• Describes the various swarm intelligence optimization methods, standardizing the variants, hybridizations, and algorithms whenever possible
• Discusses variants that focus more on binary, discrete, constrained, adaptive, and chaotic versions of the swarm optimizers
• Depicts real-world applications of the individual optimizers, emphasizing variable selection and fitness function design
• Details the similarities, differences, weaknesses, and strengths of each swarm optimization method
• Draws parallels between the operators and searching manners of the different algorithms

Swarm Intelligence: Principles, Advances, and Applications presents a comprehensive treatment of modern swarm intelligence optimization methods, complete with illustrative examples and an extendable MATLAB^(r) package for feature selection in wrapper mode applied on different data sets with benchmarking using different evaluation criteria. The book provides beginners with a solid foundation of swarm intelligence fundamentals, and offers experts valuable insight into new directions and hybridizations.

Recenzje

"The strength of this book lies in very new concepts, interesting and found diverse applications, in almost all field of science and technology… This book is very lucidly presented… The selection is very good."
—Dr. Mrutyunjaya Panda, Utkal University, Bhubaneswar, India

Spis treści

Introduction. Bat Algorithm. Artificial Fish Swarm Algorithm. Cuckoo Search Algorithm. Firefly Algorithm. Flower Pollination Algorithm. Artificial Bee Colony Optimization. Wolf-Based Search Algorithms. Bird's-Eye View.