| Article ID | Journal | Published Year | Pages | File Type |
|---|---|---|---|---|
| 1180440 | Chemometrics and Intelligent Laboratory Systems | 2008 | 5 Pages |
Abstract
A new open-source software for experimental design is presented. It consists at a platform which enables to design specific optimization algorithms by simple drag and drop from a toolbox. Complex workflows can be implemented and tested within a few minutes by experimentalists. OptiCat can integrate MS Excel©, MatLab© and Statistica© functionalities for batch calculations. Optimization results on a custom benchmark are presented as examples. Four different algorithms are studied: genetic algorithm, evolutionary strategy, Tabu Search and simulated annealing. Advantages to use OptiCat in the frame of parallel experimentation in Material Science and Catalysis are addressed.
Keywords
Related Topics
Physical Sciences and Engineering
Chemistry
Analytical Chemistry
Authors
Frédéric Clerc, David Farrusseng, Claude Mirodatos,