چکیده مقاله
This paper presents a new nature inspired optimization algorithm for the cubic metric CM reduction problem, namely enhanced sunflower optimization ESFO algorithm The incentive mechanism of ESFO is enhancing the optimization ability of the sunflower optimization SFO algorithm by introducing a powerful pollination strategy The ESFO is used to overcome the computational complexity of the PTS scheme in solving CM reduction The objective of ESFO PTS is to find out a near optimal permutation of phase factors that minimizes the high CM of OFDM signals With a test on several CM reduction scenarios, the ESFO PTS algorithm achieved better results than its counterparts
کلیدواژهها
PTS Swarm intelligence algorithm ESFO algorithm Cubic metric reduction
نویسندگان
Hojjat Emami
Department of Computer Engineering, University of Bonab, Bonab, Iran
شیوه ارجاع
Emami, Hojjat,1400,Cubic metric reduction in PTS scheme using an enhanced sunflower optimization algorithm,Fourth International Conference on Soft Computing
ارائهشده در
مجموعه مقالات چهارمین کنفرانس بین المللی محاسبات نرم8 دی 1400