New Advancements in Swarm Algorithms: Operators and Applications 1st edition by Erik Cuevas, Fernando Fausto, Adrián González – Ebook PDF Instant Download/Delivery: 3030163396, 9783030163396
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Product details:
ISBN 10: 3030163396
ISBN 13: 9783030163396
Author: Erik Cuevas, Fernando Fausto, Adrián González
This book presents advances in alternative swarm development that have proved to be effective in several complex problems. Swarm intelligence (SI) is a problem-solving methodology that results from the cooperation between a set of agents with similar characteristics. The study of biological entities, such as animals and insects, manifesting social behavior has resulted in several computational models of swarm intelligence. While there are numerous books addressing the most widely known swarm methods, namely ant colony algorithms and particle swarm optimization, those discussing new alternative approaches are rare. The focus on developments based on the simple modification of popular swarm methods overlooks the opportunity to discover new techniques and procedures that can be useful in solving problems formulated by the academic and industrial communities. Presenting various novel swarm methods and their practical applications, the book helps researchers, lecturers, engineersand practitioners solve their own optimization problems.
New Advancements in Swarm Algorithms: Operators and Applications 1st table of contents:
1. An Introduction to Nature-Inspired Metaheuristics and Swarm Methods
2. Metaheuristics and Swarm Methods: A Discussion on Their Performance and Applications
3. The Selfish Herd Optimizer
4. The Swarm Method of the Social-Spider
5. The Locust Swarm Optimization Algorithm
6. A Swarm Algorithm Inspired by the Collective Animal Behavior
7. Auto-calibration of Fractional Fuzzy Controllers by Using the Swarm Social-Spider Method
8. Locust Search Algorithm Applied to Multi-threshold Segmentation
9. Multimodal Swarm Algorithm Based on the Collective Animal Behavior (CAB) for Circle Detection
10. Locust Search Algorithm Applied for Template Matching
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Tags: New Advancements, Swarm Algorithms, Operators, Applications, Erik Cuevas, Fernando Fausto, Adrián González


