Chaotic fractal search algorithm for global optimization with application to control design

Chaotic fractal search algorithm for global optimization with application to control design

This paper presents chaos-embedded optimization algorithms named as Chaotic Fractal Search (CFS). These algorithms are improved variance to original Stochastic Fractal Search (SFS) algorithm. The influence of two chaos maps which are Chebyshev map and Gauss/Mouse map on the convergence speed and fit...

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Bibliographic Details
Main Authors: Tuan Abdul Rahman, Tuan Ahmad Zahidi, As'arry, Azizan, Abdul Jalil, Nawal Aswan, Raja Ahmad, Raja Mohd Kamil
Format: Conference or Workshop Item
Language:English
Published: IEEE 2017
Online Access:http://psasir.upm.edu.my/id/eprint/59453/
http://psasir.upm.edu.my/id/eprint/59453/
http://psasir.upm.edu.my/id/eprint/59453/1/Chaotic%20fractal%20search%20algorithm%20for%20global%20optimization%20with%20application%20to%20control%20design.pdf

Internet

http://psasir.upm.edu.my/id/eprint/59453/
http://psasir.upm.edu.my/id/eprint/59453/
http://psasir.upm.edu.my/id/eprint/59453/1/Chaotic%20fractal%20search%20algorithm%20for%20global%20optimization%20with%20application%20to%20control%20design.pdf

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