@inbook{d70c57be57864f6ab5ef5b7d016757d6,
title = "Genetic algorithm design inspired by organizational theory: Pilot study of a dependency structure matrix driven genetic algorithm",
abstract = "This study proposes a dependency structure matrix driven genetic algorithm (DSMDGA) which utilizes the dependency structure matrix (DSM) clustering to extract building block (BB) information and use the information to accomplish BB-wise crossover. Three cases: tight, loose, and random linkage, are tested on both a DSMDGA and a simple genetic algorithm (SGA). Experiments showed that the DSMDGA is able to correctly identify BBs and outperforms a SGA.",
author = "Yu, {Tian Li} and Goldberg, {David E.} and Ali Yassine and Chen, {Ying Ping}",
year = "2003",
doi = "10.1007/3-540-45110-2_54",
language = "English",
isbn = "3540406034",
series = "Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)",
pages = "1620--1621",
editor = "Erick Cant{\'u}-Paz and Foster, {James A.} and Graham Kendall and Mark Harman and Dipankar Dasgupta and Kalyanmoy Deb and {David Davis}, Lawrence and Rajkumar Roy and Una-May O'Reilly and Hans-Georg Beyer and Russell Standish and Stewart Wilson and Joachim Wegener and Potter, {Mitch A.} and Schultz, {Alan C.} and Dowsland, {Kathryn A.} and Natasha Jonoska and Julian Miller",
booktitle = "Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)",
}