Development of Exponentially Weighted Sine Cosine Optimization Algorithm

This paper focuses on developing an exponentially weighted sine cosine algorithm that helps achieve faster convergence and better global optimal solutions. The proposed algorithm has been achieved by incorporating exponential weight functions in the position updation equations that change during eac...

Full description

Bibliographic Details

Published in:	2021 IEEE Madras Section Conference (MASCON) pp. 1 - 6
Main Authors:	Mantri, Rhea, Selvaraj, Kaushik Ram, Maiti, Monalisa, Bingi, Kishore, Kulkarni, Rakshit Raghavendra
Format:	Conference Proceeding
Language:	English
Published:	IEEE 27.08.2021
Subjects:	Adaptation benchmark functions Benchmark testing Conferences Convergence exponential weights IEEE Sections Optimization sine cosine algorithm statistical analysis
Online Access:	Get full text
Tags:	Add Tag No Tags, Be the first to tag this record!