Genetic Algorithm Design Inspired by Organizational Theory: Pilot Study of a Dependency Structure Matrix Driven Genetic Algorithm

@inproceedings{Yu2003GeneticAD,
  title={Genetic Algorithm Design Inspired by Organizational Theory: Pilot Study of a Dependency Structure Matrix Driven Genetic Algorithm},
  author={Tian-Li Yu and David E. Goldberg and Ali Yassine and Ying-Ping Chen},
  booktitle={GECCO},
  year={2003}
}
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. MDL-Based DSM Clustering. A dependency… CONTINUE READING
44 Extracted Citations
1 Extracted References
Similar Papers

Citing Papers

Publications influenced by this paper.
Showing 1-10 of 44 extracted citations

Referenced Papers

Publications referenced by this paper.

A genetic algorithm design inspired by organization theory: a pilot study of a dependency structure matrix driven genetic algorithm. (IlliGAL

  • Yu, T.-L, D. E. Goldberg, A. Yassine, Chen, Y.-P
  • Technical Report No
  • 2003

Similar Papers

Loading similar papers…