Detail publikace

When and why to use the evolutionary algorithms

Originální název

When and why to use the evolutionary algorithms

Anglický název

When and why to use the evolutionary algorithms

Jazyk

en

Originální abstrakt

Using the optimisation methods based on the evolutionary principle is very popular today. It can be used to find the optimal or at least sufficient solution or to discover unknown functions especially in case when finding of the solution is impossible with traditional methods (the analytical solution is hard to be found) or in case that the computation is not practically feasible due to computational complexity. The convenience of usage of two evolutionary algorithms - the differential evolution and one form of genetic algorithms will be discussed and compared. Considering a few simple cases it will be disscussed, if the usage of these evolutionary algorithms is reasonable due to the time requirements especially on quite simple problems comparing to the brute force calculation.

Anglický abstrakt

Using the optimisation methods based on the evolutionary principle is very popular today. It can be used to find the optimal or at least sufficient solution or to discover unknown functions especially in case when finding of the solution is impossible with traditional methods (the analytical solution is hard to be found) or in case that the computation is not practically feasible due to computational complexity. The convenience of usage of two evolutionary algorithms - the differential evolution and one form of genetic algorithms will be discussed and compared. Considering a few simple cases it will be disscussed, if the usage of these evolutionary algorithms is reasonable due to the time requirements especially on quite simple problems comparing to the brute force calculation.

BibTex


@inproceedings{BUT29860,
  author="Jana {Olivová} and Zbyněk {Raida}",
  title="When and why to use the evolutionary algorithms",
  annote="Using the optimisation methods based on the evolutionary principle is very popular today. It can be used to find the optimal or at least sufficient solution or to discover unknown functions especially in case when finding of the solution is impossible with traditional methods (the analytical solution is hard to be found) or in case that the  computation is not practically feasible due to  computational complexity. The convenience of usage of two evolutionary algorithms - the differential evolution and one form of genetic algorithms will be discussed and compared. Considering a few simple cases it will be disscussed, if the usage of these evolutionary algorithms is reasonable due to the time requirements especially on quite simple problems comparing to the brute force calculation.",
  address="Technische Universität Wien",
  booktitle="Junior Scientist Conference 2008 Proceedings",
  chapter="29860",
  edition="1",
  howpublished="electronic, physical medium",
  institution="Technische Universität Wien",
  year="2008",
  month="november",
  pages="99--101",
  publisher="Technische Universität Wien",
  type="conference paper"
}