- author = "Khalid Jebari and Mohammed Madiafi and Abdelaziz {El Moujahid}",
- title = "Solving {Poisson} Equation by Genetic Algorithms",
- journal = "International Journal of Computer Applications",
- year = "2013",
- volume = "83",
- number = "5",
- pages = "1--6",
- month = dec,
- keywords = "genetic algorithms, genetic programming, grammatical evolution, evolutionary computation, Artificial Intelligence, Poisson equation",
- oai = "oai:arXiv.org:1401.0523",
-
URL = "
http://arxiv.org/abs/1401.0523",
- ISSN = "0975-8887",
-
URL = "
http://research.ijcaonline.org/volume83/number5/pxc3892597.pdf",
-
DOI = "
10.5120/14441-2597",
- size = "6 pages",
- abstract = "This paper deals with a method for solving Poisson Equation (PE) based on genetic algorithms and grammatical evolution. The method forms generations of solutions expressed in an analytical form. Several examples of PE are tested and in most cases the exact solution is recovered. But, when the solution cannot be expressed in an analytical form, our method produces a satisfactory solution with a good level of accuracy",
-
notes = "differential equations. See also
http://arxiv.org/abs/1402.5428 An Evolutionary approach
for solving Schrodinger Equation
\cite{Jebari:2013:IJCSI}
Published by Foundation of Computer Science, New York, USA.",
