Название: Advances in Swarm Intelligence: Variations and Adaptations for Optimization Problems
Автор: Anupam Biswas, Can B. Kalayci, Seyedali Mirjalili
Издательство: Springer
Серия: Studies in Computational Intelligence
Год: 2023
Страниц: 416
Язык: английский
Формат: pdf (true)
Размер: 10.15 MB
Swarm Intelligence (SI) has grown significantly, both from the perspective of algorithmic development and applications covering almost all disciplines science and technology. This book emphasizes the studies of existing SI techniques, their variants and applications. The book also contains reviews of new developments in SI techniques and hybridizations. Algorithm specific studies covering basic introduction and analysis of key components of these algorithms, such as convergence, balance of solution accuracy, computational costs, tuning and control of parameters. Application specific studies incorporating the ways of designing objective functions, solution representation and constraint handling. The book also includes studies on application domain specific adaptations in the SI techniques. Swarm Intelligence (SI) has grown significantly, both from the perspective of algorithmic development and applications covering almost all disciplines in both science and technology. Generally speaking, the algorithms that come under SI domain are typically population-based meta-heuristics techniques and are mostly inspired by nature. This book strives to cover all the major SI techniques, including particle swarm optimization, ant colony optimization, firefly algorithm, dragonfly algorithm, cuckoo search, and many more.