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guarantee the optimal solution. This volume 'Nature-Inspired Algorithms for Optimisation' is a collection of the latest state-of-the-art algorithms;
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. Nature-inspired computation has permeated into almost all areas of sciences, engineering and industries, from data mining to optimisation, from;
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of optimization algorithms that stem from a foraging metaphor. The authors first offer perspectives on foraging and foraging-inspired algorithms for;
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of optimization algorithms that stem from a foraging metaphor. The authors first offer perspectives on foraging and foraging-inspired algorithms for;
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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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routing problems. It also reviews the approximation methods and recent nature-inspired approaches for practical navigation, and compares these;
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routing problems. It also reviews the approximation methods and recent nature-inspired approaches for practical navigation, and compares these;
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their concept of quantum-behaved particles inspired by quantum mechanics, which leads to the quantum-behaved particle swarm optimisation (QPSO;
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their concept of quantum-behaved particles inspired by quantum mechanics, which leads to the quantum-behaved particle swarm optimisation (QPSO;
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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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, developments and applications of global optimisation including: particle swarm optimisation with re-initialisation strategies for continuous global;
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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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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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Nature-Inspired Optimization Algorithms provides a systematic introduction to all major nature-inspired algorithms for 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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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, 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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Introduction to Nature-Inspired Optimization brings together many of the innovative mathematical methods for non-linear optimization that;
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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 book summarizes the state-of-the-art developments in nature-inspired optimization algorithms and their applications;
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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 book reviews the latest developments in nature-inspired computation, with a focus on the cross-disciplinary applications in data;
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