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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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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, Second Edition provides an introduction to all major nature-inspired algorithms for optimization;
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This book presents a systematic approach to analyze nature-inspired algorithms. Beginning with an introduction to optimization methods and;
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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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Introduction to Nature-Inspired Optimization brings together many of the innovative mathematical methods for non-linear optimization that;
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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 Optimization Algorithms, a comprehensive work on the most popular optimization algorithms based on nature, starts with an;
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Nature-Inspired Optimization Algorithms, a comprehensive work on the most popular optimization algorithms based on nature, starts with an;
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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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This book includes introduction of several algorithms which are exclusively for graph based problems, namely combinatorial optimization;
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This book includes introduction of several algorithms which are exclusively for graph based problems, namely combinatorial optimization;
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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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This timely review book summarizes the state-of-the-art developments in nature-inspired optimization algorithms and their applications;
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-assisted optimization; benchmarking and performance measures; combinatorial optimization; connection between nature-inspired optimization and;
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-assisted optimization; benchmarking and performance measures; combinatorial optimization; connection between nature-inspired optimization and;
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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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implementations for data clustering using classical and modern nature-inspired techniques. It features a range of proven and recent nature-inspired;
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This book gathers together a set of chapters covering recent development in optimization methods that are inspired by nature. The first;
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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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computation), EvoNUM (bio-inspired algorithms for continuous parameter optimization), EvoPAR (parallel implementation of evolutionary algorithms;
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computation), EvoNUM (bio-inspired algorithms for continuous parameter optimization), EvoPAR (parallel implementation of evolutionary algorithms;
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systems is a challenge, however, due to the abundance of optimization problems within these networks. The use of meta-heuristic algorithms and;
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systems is a challenge, however, due to the abundance of optimization problems within these networks. The use of meta-heuristic algorithms and;
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177 submissions. They cover topics such as: Swarm Intelligence and Nature-Inspired Computing; Swarm-based Computing Algorithms for;
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