@inproceedings{5b979fd9a1274e01a4ed6dce494f8054,
title = "A framework for studying the effects of dynamic crossover, mutation, and population sizing in genetic algorithms",
abstract = "We introduce a framework for controlling genetic algorithms and use it to study the effect of dynamically modulating genetic algorithm control . parameters on search behavior. Our framework includes techniques that can automatically design control strategies for genetic algorithms according to a given search performance metric. Many of the automatically designed strategies exhibit an exponentially decreasing mutation rate behavior. We present experimental results indicating that exponentially decreasing the mutation rate over time contributes more towards an increase on online and offiine search performance than populations size or crossover rate modulation.",
author = "Lee, {Michael A.} and Hideyuki Takagi",
note = "Publisher Copyright: {\textcopyright} Springer-Verlag Berlin Heidelberg 1995.; 3rd World Wisepersons Workshop on Fuzzy Logic and Neural Networks/Genetic Algorithms, WWW 1994 ; Conference date: 09-08-1994 Through 10-08-1994",
year = "1995",
doi = "10.1007/3-540-60607-6_9",
language = "English",
isbn = "9783540606079",
series = "Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)",
publisher = "Springer Verlag",
pages = "111--126",
editor = "Takeshi Furuhashi",
booktitle = "Advances in Fuzzy Logic, Neural Networks and Genetic Algorithms - IEEE/Nagoya-University World Wisepersons Workshop, 1994, Selected Papers",
address = "Germany",
}