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Advances in Swarm Intelligence: Variations and Adaptations for Optimization Problems (Studies in Computational Intelligence, nr. 1054)

Editat de Anupam Biswas, Can B. Kalayci, Seyedali Mirjalili
Notă GoodReads:
en Limba Engleză Hardback – 04 Nov 2022
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. 
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Specificații

ISBN-13: 9783031098345
ISBN-10: 303109834X
Ilustrații: IX, 419 p. 115 illus., 72 illus. in color.
Dimensiuni: 155 x 235 mm
Ediția: 1st ed. 2023
Editura: Springer
Colecția Springer
Seria Studies in Computational Intelligence

Locul publicării: Cham, Switzerland

Cuprins

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.

Textul de pe ultima copertă

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. 

Caracteristici

Focuses on the studies of existing Swarm Intelligence techniques, their variants and applications
Presents studies covering basic introduction and analysis of key components of the algorithms
Presents applications incorporating the ways of designing objective functions and solution representation