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Computational Intelligence, Optimization and Inverse Problems with Applications in Engineering

Computational Intelligence, Optimization and Inverse Problems with Applications in Engineering

Hardcover

General ComputersGeneral MathematicsProbability & Statistics

ISBN10: 3319964321
ISBN13: 9783319964324
Publisher: Springer Nature
Published: Oct 6 2018
Pages: 284
Weight: 1.36
Height: 0.75 Width: 6.14 Depth: 9.21
Language: English
This book focuses on metaheuristic methods and its applications to real-world problems in Engineering. The first part describes some key metaheuristic methods, such as Bat Algorithms, Particle Swarm Optimization, Differential Evolution, and Particle Collision Algorithms. Improved versions of these methods and strategies for parameter tuning are also presented, both of which are essential for the practical use of these important computational tools. The second part then applies metaheuristics to problems, mainly in Civil, Mechanical, Chemical, Electrical, and Nuclear Engineering. Other methods, such as the Flower Pollination Algorithm, Symbiotic Organisms Search, Cross-Entropy Algorithm, Artificial Bee Colonies, Population-Based Incremental Learning, Cuckoo Search, and Genetic Algorithms, are also presented. The book is rounded out by recently developed strategies, or hybrid improved versions of existing methods, such as the Lightning Optimization Algorithm, Differential Evolution with Particle Collisions, and Ant Colony Optimization with Dispersion - state-of-the-art approaches for the application of computational intelligence to engineering problems.

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