Affiliations: [a] Department of Computer Engineering, Yasooj Branch, Islamic Azad University, Yasooj, Iran
| [b] Department of Electrical Engineering, Yasooj Branch, Islamic Azad University, Yasooj, Iran
| [c] Young Researchers and Elite Club, Yasooj Branch, Islamic Azad University, Yasooj, Iran
| [d] Department of Computer Engineering, Nourabad Mamasani Branch, Islamic Azad University, Nourabad, Iran
| [e] Young Researchers and Elite Club, Nourabad Mamasani Branch, Islamic Azad University, Nourabad, Iran
| [f] Department of Mathematics, Yasooj Branch, Islamic Azad University, Yasooj, Iran
Abstract: Optimization is a process that is followed to improve an objective function. The aim of the optimization is to improve the solution of a problem developed by a scientist or an engineer. In any optimization algorithm, the initial conditions have a big effect on quality of the final found solution. One of the new optimization algorithms is See-See Partridge Chicks Optimization (SSPCO) algorithm, which is modeled upon the behavior of the partridge chicks. Chaotic behaviors are frequent in the natural phenomena. Indeed, many real world behaviors which resemble random, are chaotic. As these behaviors are highly sensitive to the initial conditions, they show such really random-like behaviors that can’t be predicted (while they are not random at all). In this paper, we have implemented a chaotic SSPCO (CSSPSO) algorithm. We have used two different chaotic functions and we have lastly compared the results with the state of the art algorithms. The results indicate that chaos has a positive effect and the CSSPCO algorithm outperforms the state of the art algorithms.
Keywords: SSPCO algorithm, chaotic SSPCO algorithm, optimization, chaos theory
