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Books > Computing & IT > Applications of computing > Artificial intelligence
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Computational Intelligence, Optimization and Inverse Problems with Applications in Engineering (Hardcover, 1st ed. 2019)
Loot Price: R2,910
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Computational Intelligence, Optimization and Inverse Problems with Applications in Engineering (Hardcover, 1st ed. 2019)
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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. The wide
variety of methods and applications, as well as the original
results to problems of practical engineering interest, represent
the primary differentiation and distinctive quality of this book.
Furthermore, it gathers contributions by authors from four
countries - some of which are the original proponents of the
methods presented - and 18 research centers around the globe.
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