Alain Petrowski Evolutionary Algorithms
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Evolutionary algorithms are bio-inspired algorithms based on Darwin’s theory of evolution. They are expected to provide non-optimal but good quality solutions to problems whose resolution is impracticable by exact methods. In six chapters, this book presents the essential knowledge required to
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Dan Simon Evolutionary Optimization Algorithms
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A clear and lucid bottom-up approach to the basic principles of evolutionary algorithms Evolutionary algorithms (EAs) are a type of artificial intelligence. EAs are motivated by optimization processes that we observe in nature, such as natural selection, species migration, bird swarms, human
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Hugo Kubinyi Evolutionary Algorithms in Molecular Design
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When trying to find new methods and problem-solving strategies for their research, scientists often turn to nature for inspiration. An excellent example of this is the application of Darwin's Theory of Evolution, particularly the notion of the 'survival of the fittest', in computer programs
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Evelyne Lutton Evolutionary Algorithms for Food Science and Technology
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Researchers and practitioners in food science and technology routinely face several challenges, related to sparseness and heterogeneity of data, as well as to the uncertainty in the measurements and the introduction of expert knowledge in the models. Evolutionary algorithms (EAs), stochastic
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Yoann Pign? Evolutionary Algorithms for Mobile Ad Hoc Networks
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Describes how evolutionary algorithms (EAs) can be used to identify, model, and minimize day-to-day problems that arise for researchers in optimization and mobile networking Mobile ad hoc networks (MANETs), vehicular networks (VANETs), sensor networks (SNs), and hybrid networks—each of these
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Omid Bozorg-Haddad Meta-heuristic and Evolutionary Algorithms for Engineering Optimization
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A detailed review of a wide range of meta-heuristic and evolutionary algorithms in a systematic manner and how they relate to engineering optimization problems This book introduces the main metaheuristic algorithms and their applications in optimization. It describes 20 leading meta-heuristic and
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Harding Jenny A. Evolutionary Computing in Advanced Manufacturing
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This cutting-edge book covers emerging, evolutionary and nature inspired optimization techniques in the field of advanced manufacturing. The complexity of real life advanced manufacturing problems often cannot be solved by traditional engineering or computational methods. Hence, in recent years
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Jie Liang Models and Algorithms for Biomolecules and Molecular Networks
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By providing expositions to modeling principles, theories, computational solutions, and open problems, this reference presents a full scope on relevant biological phenomena, modeling frameworks, technical challenges, and algorithms. Up-to-date developments of structures of biomolecules, systems
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Used alain mikli alain mikli EYEWEAR
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Used alain mikli Alain mikli A0418-04
Купить за 16390 RUR
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Algorithms (4th Edition)
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Группа авторов Evolutionary Psychology
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According to evolutionary biologists, we are the minders of our genes. But, as Christopher Badcock points out in this book, it is only recently that evolutionists have realized that minders need minds, and that evolution needs psychology to fill the yawning gap between genes and behaviour.
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