Nature‐Inspired Algorithms Applications

2021 ◽  
Keyword(s):  
Nature Inspired Algorithms

Improving nature-inspired algorithms for feature selection

2021 ◽  
Author(s):  
Niam Abdulmunim Al-Thanoon ◽  
Omar Saber Qasim ◽  
Zakariya Yahya Algamal
Keyword(s):  
Feature Selection ◽  
Nature Inspired Algorithms

scholarly journals Fusing Nature with Computational Science for Optimal Signal Extraction

Stats ◽  
2021 ◽  
Vol 4 (1) ◽  
pp. 71-85
Author(s):  
Hossein Hassani ◽  
Mohammad Reza Yeganegi ◽  
Xu Huang
Keyword(s):  
Data Science ◽  
Time Series Data ◽  
Singular Spectrum Analysis ◽  
Hybrid Approach ◽  
Computational Science ◽  
Series Data ◽  
Computationally Efficient ◽  
Forecasting Performance ◽  
Nature Inspired Algorithms ◽  
Optimal Signal

Fusing nature with computational science has been proved paramount importance and researchers have also shown growing enthusiasm on inventing and developing nature inspired algorithms for solving complex problems across subjects. Inevitably, these advancements have rapidly promoted the development of data science, where nature inspired algorithms are changing the traditional way of data processing. This paper proposes the hybrid approach, namely SSA-GA, which incorporates the optimization merits of genetic algorithm (GA) for the advancements of Singular Spectrum Analysis (SSA). This approach further boosts the performance of SSA forecasting via better and more efficient grouping. Given the performances of SSA-GA on 100 real time series data across various subjects, this newly proposed SSA-GA approach is proved to be computationally efficient and robust with improved forecasting performance.

Review on Nature-Inspired Algorithms

2021 ◽  
Vol 2 (3) ◽  
Author(s):  
Wael Korani ◽  
Malek Mouhoub
Keyword(s):  
Nature Inspired Algorithms

Nature-Inspired Algorithms: A Comprehensive Review

2019 ◽  
pp. 1-25 ◽  
Author(s):  
Essam H. Houssein ◽  
Mina Younan ◽  
Aboul Ella Hassanien
Keyword(s):  
Comprehensive Review ◽  
Nature Inspired Algorithms

Peptide Design by Nature-Inspired Algorithms

2013 ◽  
pp. 437-465 ◽  
Author(s):  
Jan A. Hiss ◽  
Gisbert Schneider
Keyword(s):  
Peptide Design ◽  
Nature Inspired Algorithms
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