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    NATURE-INSPIRED METAHEURISTIC ALGORITHMS
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    630448

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    Sinopse

    Modern metaheuristic algorithms such as bee algorithms and harmony search start to demonstrate their power in dealing with tough optimization problems and even NP-hard problems. This book reviews and introduces the state-of-the-art nature-inspired metaheuristic algorithms in optimization, including genetic algorithms, bee algorithms, particle swarm optimization, simulated annealing, ant colony optimization, harmony search, and firefly algorithms. We also briefly introduce the photosynthetic algorithm, the enzyme algorithm, and Tabu search. Worked examples with implementation have been used to show how each algorithm works. This book is thus an ideal textbook for an undergraduate and/or graduate course. As some of the algorithms such as the harmony search and firefly algorithms are at the forefront of current research, this book can also serve as a reference book for researchers.
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    ISBN9781905986101
    Pré vendaNão
    Peso150g
    Livro disponível - pronta entregaNão
    Tipo itemLivro Importado
    Número de páginas128
    Número da edição1ª EDIÇÃO - 2008
    Código Interno630448
    Código de barras9781905986101
    AcabamentoPAPERBACK
    AutorYANG, XIN-SHE
    EditoraLUNIVER
    Sob encomendaSim

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