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Nature-inspired Optimization Algorithms for Fuzzy Controlled Servo Systems explains fuzzy control in servo systems in a way that doesn't;
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This book describes the latest advances in fuzzy logic, neural networks, and optimization algorithms, as well as their hybrid intelligent;
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applications for type-2 fuzzy systems. The second part contains papers with the main theme of bio-inspired optimization algorithms, which are basically;
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This book comprises papers on diverse aspects of fuzzy logic, neural networks, and nature-inspired optimization meta-heuristics and their;
Vergelijkbare producten zoals Fuzzy Logic Augmentation of Neural and Optimization Algorithms Theoretical Aspe
This book presents a systematic approach to analyze nature-inspired algorithms. Beginning with an introduction to optimization methods and;
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-consuming and cannot address complex problems. Metaheuristic algorithms are nature-inspired optimization techniques for solving real-life complex;
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superior in performance. Nature has a rich abundance of flora and fauna that inspired the development of nature inspired optimization techniques;
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Nature-Inspired Optimization Algorithms, Second Edition provides an introduction to all major nature-inspired algorithms for optimization;
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models, swarm intelligence and optimization, kernel methods and supporting vector machines, nature inspired computing and optimization, systems;
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of not only the traditional, but also the contemporary certain nature-inspired metaheuristic algorithms to specific engineering optimization;
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Nature-Inspired Optimization Algorithms provides a systematic introduction to all major nature-inspired algorithms for optimization;
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of numerical methods for optimization of linear controlled systems.;
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Introduction to Nature-Inspired Optimization brings together many of the innovative mathematical methods for non-linear optimization that;
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Nature-Inspired Optimization Algorithms, a comprehensive work on the most popular optimization algorithms based on nature, starts with an;
Vergelijkbare producten zoals Nature-Inspired Optimization Algorithms
Nature-Inspired Optimization Algorithms, a comprehensive work on the most popular optimization algorithms based on nature, starts with an;
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learning, unsupervised learning, fuzzy logic, rough sets, computational optimization, and neuro-fuzzy systems.;
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learning, unsupervised learning, fuzzy logic, rough sets, computational optimization, and neuro fuzzy systems.;
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This book includes introduction of several algorithms which are exclusively for graph based problems, namely combinatorial optimization;
Vergelijkbare producten zoals Discrete Problems in Nature Inspired Algorithms
This book includes introduction of several algorithms which are exclusively for graph based problems, namely combinatorial optimization;
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Nature-inspired computation and swarm intelligence have become popular and effective tools for solving problems in optimization;
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nature-inspired computing has become a prevalent technique among researchers for solving these complex problems within communication networks;
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nature-inspired computing has become a prevalent technique among researchers for solving these complex problems within communication networks;
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optimization problems and even NP-hard problems. This book reviews and introduces the state-of-the-art nature-inspired metaheuristic algorithms;
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theoretical study of nature-inspired optimization algorithms; numerically established results of nature-inspired optimization algorithms; and real;
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This timely review book summarizes the state-of-the-art developments in nature-inspired optimization algorithms and their applications;
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We describe in this book, recent developments on fuzzy logic, neural networks and optimization algorithms, as well as their hybrid;
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, and the training algorithms for machine learning using classical and modern nature-inspired techniques. It also investigates the pros and cons;
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