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...

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Veröffentlicht in:	2021 IEEE Madras Section Conference (MASCON) S. 1 - 6
Hauptverfasser:	Mantri, Rhea, Selvaraj, Kaushik Ram, Maiti, Monalisa, Bingi, Kishore, Kulkarni, Rakshit Raghavendra
Format:	Tagungsbericht
Sprache:	Englisch
Veröffentlicht:	IEEE 27.08.2021
Schlagworte:	Adaptation benchmark functions Benchmark testing Conferences Convergence exponential weights IEEE Sections Optimization sine cosine algorithm statistical analysis
Online-Zugang:	Volltext
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