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Quasi-random initial population for genetic algorithms

✍ Scribed by H. Maaranen; K. Miettinen; M.M. Mäkelä


Publisher
Elsevier Science
Year
2004
Tongue
English
Weight
971 KB
Volume
47
Category
Article
ISSN
0898-1221

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Population initialization is a crucial task in evolutionary algorithms because it can affect the convergence speed and also the quality of the final solution. If no information about the solution is available, then random initialization is the most commonly used method to generate candidate solution