Foundations of Genetic Algorithms, Volume 6 is the latest in a
series of books that records the prestigious Foundations of Genetic
Algorithms Workshops, sponsored and organised by the International
Society of Genetic Algorithms specifically to address theoretical
publications on genetic algorithms and classifier systems.
Genetic algorithms are one of the more successful machine learning
methods. Based on the metaphor of natural evolution, a genetic
algorithm searches the available information in any given task and
seeks the optimum solution by replacing weaker populations with
stronger ones.
Includes research from academia, government laboratories, and
industry
Contains high calibre papers which have been extensively
reviewed
Continues the tradition of presenting not only current theoretical
work but also issues that could shape future research in the
field
Ideal for researchers in machine learning, specifically those
involved with evolutionary computation
General
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