@inbook{6a7e0d4c775b4a5fa756e705661faf79,
title = "A gene based adaptive mutation strategy for genetic algorithms",
abstract = "In this study, a new mechanism that adapts the mutation rate for each locus on the chromosomes, based on feedback obtained from the current population is proposed. Through tests using the one-max problem, it is shown that the proposed scheme improves convergence rate. Further tests are performed using the 4-Peaks and multiple knapsack test problems to compare the performance of the proposed approach with other similar parameter control approaches. A convergence control scheme that provides acceptable performance is chosen to maintain sufficient diversity in the population and implemented for all tested methods to provide fair comparisons. The effects of using a convergence control mechanism are not within the scope of this paper and will be explored in a future study. As a result of the tests, promising results which promote further experimentation are obtained.",
author = "Sima Uyar and Sanem Sariel and Gulsen Eryigit",
year = "2004",
doi = "10.1007/978-3-540-24855-2_24",
language = "English",
isbn = "3540223436",
series = "Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)",
publisher = "Springer Verlag",
pages = "271--281",
editor = "Riccardo Poli and Owen Holland and Wolfgang Banzhaf and Hans-Georg Beyer and Edmund Burke and Paul Darwen and Dipankar Dasgupta and Dario Floreano and James Foster and Mark Harman and Lanzi, {Pier Luca} and Lee Spector and Tettamanzi, {Andrea G. B.} and Dirk Thierens and Tyrrell, {Andrew M.}",
booktitle = "Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)",
address = "Germany",
}