Performance evaluation of chaos-enhanced stochastic fractal search algorithm using constrained engineering design problems
In the two past decades, many evolutionary algorithms (EAs) have been proposed to solve optimization problems either constrained or unconstrained. This paper presents the performance evaluation of Chaos-enhanced Stochastic Fractal Search (CFS) algorithms for solving three different constrained engin...
Saved in:
Main Authors: | Tuan Abdul Rahman, Tuan Ahmad Zahidi, Abdul Jalil, Nawal Aswan, As'arry, Azizan, Raja Ahmad, Raja Mohd Kamil |
---|---|
格式: | Conference or Workshop Item |
語言: | English |
出版: |
2017
|
在線閱讀: | http://psasir.upm.edu.my/id/eprint/64384/1/ENG%20%26%20New%20Tech%20Oral%20111117%2030.pdf http://psasir.upm.edu.my/id/eprint/64384/ |
標簽: |
添加標簽
沒有標簽, 成為第一個標記此記錄!
|
相似書籍
-
Enhanced stochastic fractal search algorithm with chaos
由: Tuan Abdul Rahman, Tuan Ahmad Zahidi, et al.
出版: (2016) -
Chaotic fractal search algorithm for global optimization with application to control design
由: Tuan Abdul Rahman, Tuan Ahmad Zahidi, et al.
出版: (2017) -
Active vibration control of a flexible beam structure using chaotic fractal search algorithm
由: Tuan Abdul Rahman, Tuan Ahmad Zahidi, et al.
出版: (2017) -
Parametric modelling of twin rotor system using chaotic fractal search algorithm
由: Tuan Abdul Rahman, Tuan Ahmad Zahidi
出版: (2016) -
Training feedforward neural networks for fault diagnosis of ball bearing
由: Tuan Abdul Rahman, Tuan Ahmad Zahidi, et al.
出版: (2018)