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Researchers and practitioners in food science and technology routinely face several challenges, related to sparseness and heterogeneity;
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This book is a clear and lucid presentation of Evolutionary Algorithms, with a straightforward, bottom-up approach that provides the reader;
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Food Science and Technology is considered the flagship textbook for degree level studies in food science, supported by the International;
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contributing authors A must-have reference book for libraries in every university, food science and technology research institute, and food company;
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This book integrates two areas of computer science, namely data mining and evolutionary algorithms. Both these areas have become;
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This book meant for those who seek to apply evolutionary algorithms to problems in engineering and science. To this end, it provides the;
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. This book is valuable for researchers and students in food science and technology and it is also useful for food industry professionals, food;
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Evolutionary Algorithms in Engineering and Computer Science Edited by K. Miettinen, University of Jyvaskyla, Finland M. M. Makela;
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The field of evolutionary algorithms produces various theoretical approaches that help search for global optima within complex environments;
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As branches of research and knowledge continue to expand, platforms for gathering and understanding new information become important;
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This book features selected research papers presented at the International Conference on Evolutionary Computing and Mobile Sustainable;
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and Evolutionary Algorithms techniques for various medical issues in terms of Cancer Diagnosis, Brain Tumor, Diabetic Retinopathy, Heart;
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Genetic algorithms have been used in science and engineering as adaptive algorithms for solving practical problems and as computational;
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Genetic algorithms have been used in science and engineering as adaptive algorithms for solving practical problems and as computational;
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This book gathers selected papers presented at the 4th International Conference on Artificial Intelligence and Evolutionary Computations;
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: EvoBIO (evolutionary computation, machine learning and data mining in computational biology), EvoCOMNET (nature-inspired techniques for;
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and challenges in food science and technology. While food science and technology is not a new field, it is constantly changing due to new;
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optimization (ACO), and the particle swarm optimization (PSO) technique. Chapter 1 of Meta-heuristic and Evolutionary Algorithms for Engineering;
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), EvoBIO (evolutionary computation, machine learning and data mining in computational biology), EvoCOMNET (nature-inspired techniques for;
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), EvoBIO (evolutionary computation, machine learning and data mining in computational biology), EvoCOMNET (nature-inspired techniques for;
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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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This Handbook of Research in Food Science and Technology consists of three volumes focusing on food technology and chemistry, food;
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oCompilation and evaluation of the newest applications of chromatography for food science and technology oEnumeration of chromatographic;
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chemistry strategies and tools for the food science and technology. Chapters cover many topics in this field, including nutritional and;
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and challenges in food science and technology. While food science and technology is not a new field, it is constantly changing due to new;
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