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Books > Computing & IT > Applications of computing > Artificial intelligence > Knowledge-based systems / expert systems

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Handbook of Metaheuristic Algorithms - From Fundamental Theories to Advanced Applications (Paperback) Loot Price: R3,744
Discovery Miles 37 440
You Save: R384 (9%)
Handbook of Metaheuristic Algorithms - From Fundamental Theories to Advanced Applications (Paperback): Chun-Wei Tsai, Ming-Chao...

Handbook of Metaheuristic Algorithms - From Fundamental Theories to Advanced Applications (Paperback)

Chun-Wei Tsai, Ming-Chao Chiang

Series: Uncertainty, Computational Techniques, and Decision Intelligence

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Was R4,128 Loot Price R3,744 Discovery Miles 37 440 | Repayment Terms: R351 pm x 12* You Save R384 (9%)

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Handbook of Metaheuristic Algorithms: From Fundamental Theories to Advanced Applications provides a brief introduction to metaheuristic algorithms from the ground up, including basic ideas and advanced solutions. Although readers may be able to find source code for some metaheuristic algorithms on the Internet, the coding styles and explanations are generally quite different, and thus requiring expanded knowledge between theory and implementation. This book can also help students and researchers construct an integrated perspective of metaheuristic and unsupervised algorithms for artificial intelligence research in computer science and applied engineering domains. Metaheuristic algorithms can be considered the epitome of unsupervised learning algorithms for the optimization of engineering and artificial intelligence problems, including simulated annealing (SA), tabu search (TS), genetic algorithm (GA), ant colony optimization (ACO), particle swarm optimization (PSO), differential evolution (DE), and others. Distinct from most supervised learning algorithms that need labeled data to learn and construct determination models, metaheuristic algorithms inherit characteristics of unsupervised learning algorithms used for solving complex engineering optimization problems without labeled data, just like self-learning, to find solutions to complex problems.

General

Imprint: Academic Press Inc
Country of origin: United States
Series: Uncertainty, Computational Techniques, and Decision Intelligence
Release date: June 2023
First published: 2023
Authors: Chun-Wei Tsai • Ming-Chao Chiang
Dimensions: 229 x 152mm (L x W)
Format: Paperback
Pages: 500
ISBN-13: 978-0-443-19108-4
Categories: Books > Professional & Technical > Technology: general issues > General
Books > Computing & IT > Applications of computing > Artificial intelligence > Knowledge-based systems / expert systems
Books > Computing & IT > Computer software packages > Other software packages > Enterprise software > General
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LSN: 0-443-19108-5
Barcode: 9780443191084

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