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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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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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solutions using nature-inspired techniques, and explores the challenges of navigation and routing problems and nature-inspired metaheuristic;
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solutions using nature-inspired techniques, and explores the challenges of navigation and routing problems and nature-inspired metaheuristic;
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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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most popular metaheuristic algorithms, developed in 2001 by Prof. Joong Hoon Kim and Prof. Zong Woo Geem, that mimics the improvisation process;
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Metaheuristics for Structural Design and Analysis discusses general properties and types of metaheuristic techniques, basic principles;
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sections: natural language processing; evolutionary and nature-inspired metaheuristic algorithms; neural networks and hybrid intelligent systems;
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formulation considering loading of structure). Metaheuristic methods inspired by natural phenomena can consider design constraints by combining the;
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formulation considering loading of structure). Metaheuristic methods inspired by natural phenomena can consider design constraints by combining the;
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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 computation and swarm intelligence have become popular and effective tools for solving problems in optimization;
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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 timely book deals with a current topic, i.e. the applications of metaheuristic algorithms, with a primary focus on optimization;
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Algorithms: Emerging Research and Opportunities is an essential reference source that discusses applications of bio-inspired algorithms in data;
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Metaheuristic optimization has become a prime alternative for solving complex optimization problems in several areas. Hence, practitioners;
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Metaheuristic optimization has become a prime alternative for solving complex optimization problems in several areas. Hence, practitioners;
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Brain and Nature-Inspired Learning, Computation and Recognition presents a systematic analysis of neural networks, natural computing;
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This timely review volume summarizes the state-of-the-art developments in nature-inspired algorithms and applications with the emphasis on;
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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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, reaching a position of an essential nature-inspired stochastic metaheuristic for optimization of critical problems. This book offers state-of-the;
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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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(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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