Abstract
Every aspect of our daily life implies a search for the best possible action and the optimal choice for that act. Most standard optimization methods require the fulfilment of certain constraints, imply convergence issues or use single point movement. Among them, EAs represent a flexible and adaptable alternative, with classes of methods based on principles of evolution and heredity, with populations of potential solutions and only some basic knowledge of mathematics.
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© 2014 Springer International Publishing Switzerland
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Stoean, C., Stoean, R. (2014). Overview of Evolutionary Algorithms. In: Support Vector Machines and Evolutionary Algorithms for Classification. Intelligent Systems Reference Library, vol 69. Springer, Cham. https://doi.org/10.1007/978-3-319-06941-8_3
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DOI: https://doi.org/10.1007/978-3-319-06941-8_3
Publisher Name: Springer, Cham
Print ISBN: 978-3-319-06940-1
Online ISBN: 978-3-319-06941-8
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