2003
1.
Marek Publicewicz, Ewa Niewiadomska-Szynkiewicz
GOOL - Global Optimization Object-Oriented Library Proceedings Article
In: Arabas, J. (Ed.): Proceedings of the 6th National Conference on Evolutionary Computation and Global Optimization, pp. 173-182, Warsaw University of Technology Publishing House Warsaw University of Technology Publishing House, łagów, Poland, 2003, ISBN: 83-89321-35-1.
Abstract | Links | BibTeX | Tagi: kaeiog
@inproceedings{KAEiOG2003.19,
title = {GOOL - Global Optimization Object-Oriented Library},
author = {Marek Publicewicz and Ewa Niewiadomska-Szynkiewicz},
editor = {J. Arabas},
url = {https://troja.uksw.edu.pl/pdf/kaeiog/KAEiOG2003.19.pdf},
isbn = {83-89321-35-1},
year = {2003},
date = {2003-01-01},
booktitle = {Proceedings of the 6th National Conference on Evolutionary Computation and Global Optimization},
pages = {173-182},
publisher = {Warsaw University of Technology Publishing House},
address = {łagów, Poland},
organization = {Warsaw University of Technology Publishing House},
abstract = {The paper presents an integrated environment, called GOOL (Global Optimization Object-Oriented Library), which can be used to solve complex problems of searching for the global minimum (maximum) of performance function. It provides a framework that allows to perform numerical experiments. GOOL offers the graphical environment for supporting the considered problem definition and calculation results presentation. The main component of the GOOL system is the library of random search generators and optimization algorithms for convex and nonconvex, unconstrained and constrained problems. The numerical results for the test problem are presented in the final part of the article.},
keywords = {kaeiog},
pubstate = {published},
tppubtype = {inproceedings}
}
The paper presents an integrated environment, called GOOL (Global Optimization Object-Oriented Library), which can be used to solve complex problems of searching for the global minimum (maximum) of performance function. It provides a framework that allows to perform numerical experiments. GOOL offers the graphical environment for supporting the considered problem definition and calculation results presentation. The main component of the GOOL system is the library of random search generators and optimization algorithms for convex and nonconvex, unconstrained and constrained problems. The numerical results for the test problem are presented in the final part of the article.