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    Computational Optimization in Engineering - Paradigms and Applications

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    https://www.intechopen.com/books/computational-optimization-in-engineering-paradigms-and-applications
    Author(s)
    Hossein Peyvandi
    Language
    English
    Show full item record
    Abstract
    The purpose of optimization is to maximize the quality of lives, productivity in time, as well as interests. Therefore, optimization is an ongoing challenge for selecting the best possible among many other inferior designs. For a hundred years in the past, as optimization has been essential to human life, several techniques have been developed and utilized. Such a development has been one of the long-lasting challenges in engineering and science, and it is now clear that the optimization goals in many of real-life problems are unlikely to be achieved without resource for computational techniques. The history of such a development in the optimization techniques starts from the early 1950s and is still in progress. Since then, the efforts behind this development dedicated by many distinguished scientists, mathematicians, and engineers have brought us today a level of quality of lives. This book concerns with the computational optimization in engineering and techniques to resolve the underlying problems in real life. The current book contains studies from scientists and researchers around the world from North America to Europe and from Asia to Australia.
    URI
    https://directory.doabooks.org/handle/20.500.12854/43709
    Keywords
    Engineering; Physical Sciences; Engineering and Technology; Production Engineering; Industrial Engineering and Management
    DOI
    10.5772/62604
    ISBN
    9789535130819, 9789535130826
    Publisher
    IntechOpen
    Publisher website
    https://www.intechopen.com/
    Publication date and place
    2017
    Pages
    162
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    Credits


    • logo Investir l'avenirInvestir l'avenir
    • logo MESRIMESRI
    • logo EUEuropean Union
      This project received funding from the European Union’s Horizon 2020 research and innovation programme under grant agreement No 871069.

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