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Applied Evolutionary Algorithms in Java,Used
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Genetic algorithms provide a powerful range of methods for solving complex engineering search and optimization algorithms. Their power can also lead to difficulty for new researchers and students who wish to apply such evolutionbased methods. Applied Evolutionary Algorithms in JAVA offers a practical, handson guide to applying such algorithms to engineering and scientific problems. The concepts are illustrated through clear examples, ranging from simple to more complex problems domains; all based on realworld industrial problems. Examples are taken from image processing, fuzzylogic control systems, mobile robots, and telecommunication network optimization problems. The JAVAbased toolkit provides an easytouse and essential visual interface, with integrated graphing and analysis tools. Topics and features: inclusion of a complete JAVA toolkit for exploring evolutionary algorithms; strong use of visualization techniques, to increase understanding; coverage of all major evolutionary algorithms in common usage; broad range of industrially based example applications; includes examples and an appendix based on fuzzy logic.
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