Year: 2016
Type: book-chapter
Abstract: © 2016, World Scientific Publishing Co. Pte Ltd. All rights reserved. This paper introduces a chaotic spiral dynamic algorithm (CSDA) for optimization problems. The algorithm is developed by incorporating the chaotic maps pattern into the original spiral dynamic algorithm (SDA) by replacing the rotational radius in SDA with chaotic map, so as to enhance the search diversity of the algorithm avoid potential trap in local optima. The performance of the algorithm is assessed in comparison to SDA with a set of benchmark functions and PD controller tuning of a single link flexible robot manipulator system (SLFRMS). The results show that the CSDA outperforms the SDA with enhanced search capability and escaping local optima.
Source: WORLD SCIENTIFIC eBooks
Authors: M. R. HASHIM, M. O. TOKHI
Institution: University of Sheffield
Language: English
Subfield: Artificial Intelligence
Field: Computer Science
Domain: Physical Sciences
Open Access status: green
OpenAlex ID: W2489339830