<p><i>Handbook of Metaheuristic Algorithms: From Fundamental Theories to Advanced Applications</i> 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.</p><p>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), dif
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<p><i>Bloom Filter: A Data Structure for Computer Networking, Big Data, Cloud Computing, Internet of Things, Bioinformatics, and Beyond</i> focuses on both the theory and practice of the most emerging areas for Bloom filter application,...
kr 1729.00
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<p><i>Fuel Cell Modeling and Simulation: From Micro-Scale to Macro-Scale</i> provides a comprehensive guide to the numerical model and simulation of fuel cell systems and related devices, with easy-to-follow instructions to help optimize...
kr 1619.00
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Driven by demand from the entertainment industry for better and more realistic animation, technology continues to evolve and improve. This title includes the algorithms and techniques behind this technology. It covers such topics as fluids, hair, and...
kr 679.00
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