Computing Minimal Hitting Sets with Genetic Algorithm
L. Li, and J. Yunfei. Proceedings of the 13th International Workshop on Principles of Diagnosis, page 77-80. (2002)
Abstract
A set S that has a non-empty intersection with every set in a collection of sets C is called a hitting set of C. If no element can be removed from S without violating the hitting set property, S is considered to be minimal. Several interesting problems can be partly formulated as ones that a minimal hitting set or more ones have to be found. Many of these problems are required for proper solutions, but sometimes the approximate solutions are enough. A genetic algorithm and advantaged algorithms were devised for computing minimal hitting sets. An improvement makes them get most minimal hitting sets efficiently. Furthermore, they are smaller, i.e., fewer rules.
%0 Conference Paper
%1 paper:li:2002
%A Li, Lin
%A Yunfei, Jiang
%B Proceedings of the 13th International Workshop on Principles of Diagnosis
%D 2002
%K MBD MCS genetic-algorithm
%P 77-80
%T Computing Minimal Hitting Sets with Genetic Algorithm
%X A set S that has a non-empty intersection with every set in a collection of sets C is called a hitting set of C. If no element can be removed from S without violating the hitting set property, S is considered to be minimal. Several interesting problems can be partly formulated as ones that a minimal hitting set or more ones have to be found. Many of these problems are required for proper solutions, but sometimes the approximate solutions are enough. A genetic algorithm and advantaged algorithms were devised for computing minimal hitting sets. An improvement makes them get most minimal hitting sets efficiently. Furthermore, they are smaller, i.e., fewer rules.
@inproceedings{paper:li:2002,
abstract = {A set S that has a non-empty intersection with every set in a collection of sets C is called a hitting set of C. If no element can be removed from S without violating the hitting set property, S is considered to be minimal. Several interesting problems can be partly formulated as ones that a minimal hitting set or more ones have to be found. Many of these problems are required for proper solutions, but sometimes the approximate solutions are enough. A genetic algorithm and advantaged algorithms were devised for computing minimal hitting sets. An improvement makes them get most minimal hitting sets efficiently. Furthermore, they are smaller, i.e., fewer rules.},
added-at = {2009-06-23T15:24:02.000+0200},
author = {Li, Lin and Yunfei, Jiang},
biburl = {https://www.bibsonomy.org/bibtex/26c4d0e26ac991c0d727d422a2b43286a/mschuber},
booktitle = {Proceedings of the 13th International Workshop on Principles of Diagnosis},
interhash = {0975fe1e3fc2f420b496eda0ed8b0224},
intrahash = {6c4d0e26ac991c0d727d422a2b43286a},
keywords = {MBD MCS genetic-algorithm},
pages = {77-80},
timestamp = {2009-06-23T15:24:02.000+0200},
title = {Computing Minimal Hitting Sets with Genetic Algorithm},
year = 2002
}