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algorithms, this book moves on to provide a unified framework of mathematical analysis for convergence and stability. Specific nature-inspired;
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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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Nature-inspired computation and swarm intelligence have become popular and effective tools for solving problems in optimization;
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This book engages in an ongoing topic, such as the implementation of nature-inspired metaheuristic algorithms, with a main concentration on;
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recognitionDescribes the biological mechanisms, mathematical analyses and scientific principles behind brain and nature-inspired learning;
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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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This introduction to the mathematical foundations and theory of distributed computing is theoretical in nature, describing algorithms and;
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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 for Fuzzy Controlled Servo Systems explains fuzzy control in servo systems in a way that doesn't;
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problems, path formation problems, etc. Each chapter includes the introduction of the basic traditional nature inspired algorithm and discussion;
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problems, path formation problems, etc. Each chapter includes the introduction of the basic traditional nature inspired algorithm and discussion;
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This book discusses all the major nature-inspired algorithms with a focus on their application in the context of solving navigation and;
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This book discusses all the major nature-inspired algorithms with a focus on their application in the context of solving navigation and;
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Nature-Inspired Computing: Physics and Chemistry-Based Algorithms provides a comprehensive introduction to the methodologies and algorithms;
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Nature-Inspired Computing: Physics and Chemistry-Based Algorithms provides a comprehensive introduction to the methodologies and algorithms;
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algorithms often pose a challenging mathematical problem because their analysis uses deep mathematical results from different fields. Thus the modern;
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mirror the natural processes and systems that have existed for centuries. Nature-Inspired Algorithms for Big Data Frameworks is a collection;
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(evolutionary computation, machine learning and data mining in computational biology), EvoCOMNET (nature-inspired techniques for telecommunication;
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(evolutionary computation, machine learning and data mining in computational biology), EvoCOMNET (nature-inspired techniques for telecommunication;
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Nature-Inspired Optimization Algorithms provides a systematic introduction to all major nature-inspired algorithms for optimization;
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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 book constitutes the refereed proceedings of the 31st International Symposium on Mathematical Foundations of Computer Science, MFCS;
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Nature-Inspired Algorithms have been gaining much popularity in recent years due to the fact that many real-world optimisation problems;
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This book reviews the latest developments in nature-inspired computation, with a focus on the cross-disciplinary applications in data;
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This book reviews the latest developments in nature-inspired computation, with a focus on the cross-disciplinary applications in data;
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meta-heuristics. Each chapter offers a comprehensive description of a specific algorithm, from the mathematical model to its practical;
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meta-heuristics. Each chapter offers a comprehensive description of a specific algorithm, from the mathematical model to its practical;
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