Eremeev, Anton
On Complexity of Optimized Crossover for Binary Representations
Abstract
We consider the computational complexity of producing the best
possible offspring in a crossover, given two solutions of the
parents. The crossover operators are studied on the class of
Boolean linear programming problems, where the Boolean vector of
variables is used as the solution representation. By means of
efficient reductions of the optimized gene transmitting crossover
problems (OGTC) we show the polynomial solvability of the OGTC for
the maximum weight set packing problem, the minimum weight set
partition problem and for one of the versions of the simple plant
location problem. We study a connection between the OGTC for
linear Boolean programming problem and the maximum weight
independent set problem on 2colorable hypergraph and prove the
NPhardness of several special cases of the OGTC problem in
Boolean linear programming.
BibTeX  Entry
@InProceedings{eremeev:DSP:2006:593,
author = {Anton Eremeev},
title = {On Complexity of Optimized Crossover for Binary Representations},
booktitle = {Theory of Evolutionary Algorithms},
year = {2006},
editor = {Dirk V. Arnold and Thomas Jansen and Michael D. Vose and Jonathan E. Rowe},
number = {06061},
series = {Dagstuhl Seminar Proceedings},
ISSN = {18624405},
publisher = {Internationales Begegnungs und Forschungszentrum f{\"u}r Informatik (IBFI), Schloss Dagstuhl, Germany},
address = {Dagstuhl, Germany},
URL = {http://drops.dagstuhl.de/opus/volltexte/2006/593},
annote = {Keywords: Genetic Algorithm, Optimized Crossover, Complexity}
}
2006
Keywords: 

Genetic Algorithm, Optimized Crossover, Complexity 
Seminar: 

06061  Theory of Evolutionary Algorithms

Related Scholarly Article: 


Issue date: 

2006 
Date of publication: 

2006 