
Advances in Swarm Intelligence
Variations and Adaptations for Optimization Problems
Springer (Publisher)
Published on 3. October 2023
Book
Paperback/Softback
IX, 419 pages
978-3-031-09837-6 (ISBN)
Description
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. The book will be beneficial for academicians and researchers from various disciplines of engineering and science working in applications of SI and other optimization problems.
More details
Series
Edition
2023 ed.
Language
English
Place of publication
Cham
Switzerland
Publishing group
Springer International Publishing
Target group
Professional and scholarly
Illustrations
43 s/w Abbildungen, 72 farbige Abbildungen
IX, 419 p. 115 illus., 72 illus. in color.
Dimensions
Height: 235 mm
Width: 155 mm
Thickness: 24 mm
Weight
651 gr
ISBN-13
978-3-031-09837-6 (9783031098376)
DOI
10.1007/978-3-031-09835-2
Schweitzer Classification
Other editions
Additional editions

Anupam Biswas | Can B. Kalayci | Seyedali Mirjalili
Advances in Swarm Intelligence
Variations and Adaptations for Optimization Problems
Book
10/2022
Springer
€160.49
Shipment within 15-20 days
Content
A Brief Tutorial on Optimization Problems, Optimization Algorithms, Meta-heuristics, and Swarm Intelligence.- Introductory Review of Swarm Intelligence Techniques.- Swarm Intelligence for Deep Learning: Concepts, Challenges and Recent Trends.- Advances on Particle Swarm Optimization in Solving Discrete Optimization Problems.- Performance Analysis of Hybrid Memory Based Dragonfly Algorithm in Engineering Problems.