Ebook: Swarm Intelligence: Principles, Advances, and Applications
Author: Aboul Ella Hassanien Eid Emary
- Tags: Intelligence & Semantics, AI & Machine Learning, Computer Science, Computers & Technology, Machine Theory, AI & Machine Learning, Computer Science, Computers & Technology, Electronics, Microelectronics, Optoelectronics, Semiconductors, Sensors, Solid State, Transistors, Electrical & Electronics, Engineering, Engineering & Transportation, Reference, Almanacs & Yearbooks, Atlases & Maps, Careers, Catalogs & Directories, Consumer Guides, Dictionaries & Thesauruses, Encyclopedias & Subject Guides, English as a Second Languag
- Year: 2015
- Publisher: CRC Press
- Edition: Har/Psc
- Language: English
- pdf
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® 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.