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Bio-inspired Algorithms for Engineering builds a bridge between the proposed bio-inspired algorithms developed in the past few decades and;
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Swarm Intelligence and bio-inspired computation have become increasing popular in the last two decades. Bio-inspired algorithms such as;
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Network on Chip (NoC) addresses the communication requirement of different nodes on System on Chip. The bio-inspired algorithms improve the;
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The book deals with the recent innovations and applications of bio-inspired computing. Bio-inspired computational algorithms are an;
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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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is not on the application of algorithms to specific or general domains but to provide an update on recent research trends for bio-inspired;
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Bio-inspired concepts for biomedical engineering are at the forefront of tissue engineering and regenerative medicine. Providing a;
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Wireless Sensor Networks: Evolutionary Algorithms for Optimizing Performance provides an integrative overview of bio-inspired algorithms;
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Bio-Inspired Computation and Applications in Image Processing summarizes the latest developments in bio-inspired computation in image;
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techniques, including requirement gathering in the form of story points in agile software, and bio-inspired techniques for estimating the effort;
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Advances in Bio-inspired Combinatorial Optimization Problems illustrates several recent bio-inspired efficient algorithms for solving NP;
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processing, and pattern recognition), EvoINDUSTRY (nature-inspired techniques in industrial settings), EvoNUM (bio-inspired algorithms for;
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techniques in industrial settings), EvoNUM (bio-inspired algorithms for continuous parameter optimization), EvoPAR (parallel implementation;
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processing, and pattern recognition), EvoINDUSTRY (nature-inspired techniques in industrial settings), EvoNUM (bio-inspired algorithms for;
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Bio-inspired computing (BIC) focuses on the designs and developments of computer algorithms and models based on biological mechanisms and;
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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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. In addition 4 papers of the workshop on bio and immune inspired algorithms and models for multi-level complex systems are included in this volume;
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This book discusses in-depth role of optimization to optimize the controller parameters with reference to bio-inspired algorithms;
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This book discusses in-depth role of optimization to optimize the controller parameters with reference to bio-inspired algorithms;
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faster, denser computing architectures and algorithms. Furthermore, it draws from the latest advances in biology with a focus on bio-inspired;
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, optimization algorithms, stochastic models, nonlinear curve-fitting to data modelling, bio-inspired algorithms and swarm intelligence. This book;
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; bioimaging; bioinformatics models, methods and algorithms; bio-inspired systems and signal processing; and health informatics.;
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challenges, machine learning, data mining, information retrieval and management, bio-/neuro-informatics, bio-inspired models (including neural;
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challenges, machine learning, data mining, information retrieval and management, bio-/neuro-informatics, bio-inspired models (including neural;
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and devices; bioimaging; bioinformatics models, methods and algorithms; bio-inspired systems and signal processing; health informatics.;
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specific functions, for example, responsive, adaptive and self-healing materials. Bio-inspired Polymers covers all aspects of the subject;
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Einde inhoud
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