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Intrinsic Characteristics

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Genetic Algorithms

Abstract

Based upon the material that has been described in Chaps. 1 and 2, GA can be used to solve a number of practical engineering problems. Normally, the results obtained are quite good and are considered to be compatible to those derived from other techniques. However, a simply GA has difficulty in tackling complicated, multi-tasking and conflicting problems, and the speed of computation is generally regarded as slow. To enhance the capability of GA for practical uses, the intrinsic characteristics of GA should be further exploited and explored.

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© 1999 Springer-Verlag London

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Man, K.F., Tang, K.S., Kwong, S. (1999). Intrinsic Characteristics. In: Genetic Algorithms. Advanced Textbooks in Control and Signal Processing. Springer, London. https://doi.org/10.1007/978-1-4471-0577-0_3

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  • DOI: https://doi.org/10.1007/978-1-4471-0577-0_3

  • Publisher Name: Springer, London

  • Print ISBN: 978-1-85233-072-9

  • Online ISBN: 978-1-4471-0577-0

  • eBook Packages: Springer Book Archive

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