SKU/Artículo: AMZ-B07KTFHR77
Swarm Intelligence: Principles, Advances, and Applications
Format:
Kindle
Detalles del producto
Disponibilidad:
En stock
En stock
Peso con empaque:
0.76 kg
0.76 kg
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No
No
Condición
Nuevo
Nuevo
Producto de:
Amazon
Amazon
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USA
USA
Sobre este producto
- 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 possibleDiscusses variants that focus more on binary, discrete, constrained, adaptive, and chaotic versions of the swarm optimizersDepicts real-world applications of the individual optimizers, emphasizing variable selection and fitness function designDetails the similarities, differences, weaknesses, and strengths of each swarm optimization methodDraws parallels between the operators and searching manners of the different algorithmsSwarm 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.
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AR$204.143
31% OFF
AR$140.792
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Highlight, take notes, and search in the book In this edition, page numbers are just like the physical edition
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