Motivation and Brief History
Developing automated problem solvers (that is, algorithms) is one of the central themes of mathematics and computer science. Similarly to engineering,where looking at Nature’s solutions has always been a source of inspiration, copying ‘natural problem solvers’ is a stream within these disciplines. When looking for the most powerful problem solver of the universe, two candidates are rather straightforward:
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the human brain, and
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the evolutionary process that created the human brain.
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© 2012 Springer-Verlag Berlin Heidelberg
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Eiben, Á.E., Smith, J.E. (2012). Evolutionary Algorithms. In: Neri, F., Cotta, C., Moscato, P. (eds) Handbook of Memetic Algorithms. Studies in Computational Intelligence, vol 379. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-23247-3_2
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DOI: https://doi.org/10.1007/978-3-642-23247-3_2
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