| Autor: |
Ioannis G. Tsoulos, Vasileios Stavrou, Nikolaos E. Mastorakis, Dimitrios Tsalikakis |
| Jazyk: |
angličtina |
| Rok vydání: |
2019 |
| Předmět: |
|
| Zdroj: |
SoftwareX, Vol 10, Iss , Pp - (2019) |
| Druh dokumentu: |
article |
| ISSN: |
2352-7110 |
| DOI: |
10.1016/j.softx.2019.100355 |
| Popis: |
This article presents a software used to solve constrained optimization problems with a modified genetic algorithm, which utilizes a series of modified genetic operators to preserve the feasibility of trial solutions and terminates using a stochastic stopping rule. The software is written entirely in ANSI-C++ and the user can prepare the objective function either in C++ or in Fortran. The article presents the genetic algorithm, the incorporated software as well as some experiments on a series of optimization problems. Also, the proposed software was tested on the design of a two-dimensional filter. The results are compared against the results from the algorithm DONLP2. Keywords: Genetic algorithm, Constrained optimization, Stochastic methods |
| Databáze: |
Directory of Open Access Journals |
| Externí odkaz: |
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