Chaotic optimization algorithm based on the modified probability density function of Lozi map
Year: 2020
Type: article
Abstract: Chaos optimization algorithms (COAs) usually utilize different chaotic maps(logistic, tent, Hénon, Lozi,...) to generate the pseudo-random numbers mapped as the design variables for global optimization. In this paper we are going to propose new technique to improve the chaotic optimization algorithm by using some transformations to modify the density of the map instead of changing it.
DOI: 10.5269/bspm.41668
Authors: Rabah Bououden, Mohamed Salah Abdelouahab
Institution: University Frères Mentouri Constantine 1
Language: English
Subfield: Artificial Intelligence
Field: Computer Science
Domain: Physical Sciences
Open Access status: diamond
OpenAlex ID: W3095336928
