@inproceedings{36352d0408e3466bb21f02a852607eec,
title = "Classification of analog circuit states using PSO in the multidimensional space of solutions",
abstract = "This paper describes how increasing number of dimension of search space (in analog circuit diagnosis) can influence on identification of states of circuit under test (CUT). The criterion of optimization is the maximum number of identified states of CUT. In order to achieve this goal, first each state S and ambiguity set AS must be find and then optimized using Particle Swarm Optimization (PSO) algorithm. Group, PSO algorithm and testing strategy are briefly described. The proposed method has been checked for single parametric faults of CUT.",
keywords = "Multidimensional search space, Parametric faults, Particle swarm algorithm, Swarm intelligence",
author = "Piotr Kyzio{\l} and Damian Grzechca and Tomasz Golonek and Jerzy Rutkowski",
year = "2009",
language = "English",
isbn = "9788392875604",
series = "Proceedings of the 16th International Conference - Mixed Design of Integrated Circuits and Systems, MIXDES 2009",
pages = "513--518",
booktitle = "Proceedings of the 16th International Conference - Mixed Design of Integrated Circuits and Systems, MIXDES 2009",
note = "16th International Conference on Mixed Design of Integrated Circuits and Systems, MIXDES 2009 ; Conference date: 25-06-2009 Through 27-06-2009",
}