Programs in Physics & Physical Chemistry
|[Licence| Download | New Version Template] aear_v1_0.tar.gz(426 Kbytes)|
|Manuscript Title: GenMin: An enhanced genetic algorithm for global optimization|
|Authors: Ioannis G. Tsoulos, I.E. Lagaris|
|Program title: GenMin|
|Catalogue identifier: AEAR_v1_0|
Distribution format: tar.gz
|Journal reference: Comput. Phys. Commun. 178(2008)843|
|Programming language: GNU-C++, GNU-C, GNU Fortran - 77.|
|Computer: The tool is designed to be portable in all systems running the GNU C++ compiler.|
|Operating system: The tool is designed to be portable in all systems running the GNU C++ compiler.|
|Word size: 32 bits|
|Keywords: Global optimization, stochastic methods, genetic programming, grammatical evolution.|
|PACS: 02.60.-x, 02.60.Pn, 07.05.Kf, 02.70.Lq, 07.05.Mh.|
Nature of problem:
A multitude of problems in science and engineering are often reduced to minimizing a function of many variables. There are instances that a local optimum does not correspond to the desired physical solution and hence the search for a better solution is required. Local optimization techniques are frequently trapped in local minima. Global optimization is hence the appropriate tool. For example, solving a non - linear system of equations via optimization, employing a least squares type of objective, one may encounter many local minima that do not correspond to solutions. ( i.e. they are far from zero).
Grammatical evolution and a stopping rule.
Depending on the objective function. The test example given takes only a few seconds to run.
|Disclaimer | ScienceDirect | CPC Journal | CPC | QUB|