Population Diversity Analysis for the Chaotic Based Selection of Individuals in Differential Evolution

2018 ◽  
pp. 283-294 ◽  
Author(s):  
Roman Senkerik ◽  
Adam Viktorin ◽  
Michal Pluhacek ◽  
Tomas Kadavy
Keyword(s):  
Differential Evolution ◽  
Population Diversity ◽  
Diversity Analysis ◽  
Selection Of

scholarly journals ISSR marker-assisted genetic diversity analysis of Dioscorea hispida and selection of the best variety for sustainable production

2017 ◽  
Vol 340 (8) ◽  
pp. 359-366 ◽  
Author(s):  
Nur Fatihah Hasan Nudin ◽  
Abdul Manaf Ali ◽  
Norhayati Ngah ◽  
Nor Zuhailah Mazlan ◽  
Nashriyah Mat ◽  
...  
Keyword(s):  
Genetic Diversity ◽  
Sustainable Production ◽  
Issr Marker ◽  
Diversity Analysis ◽  
Genetic Diversity Analysis ◽  
Selection Of

scholarly journals A New Fruit Fly Optimization Algorithm Based on Differential Evolution

2015 ◽  
Vol 3 (4) ◽  
pp. 365-373 ◽  
Author(s):  
Dabin Zhang ◽  
Jia Ye ◽  
Zhigang Zhou ◽  
Yuqi Luan
Keyword(s):  
Differential Evolution ◽  
Optimization Algorithm ◽  
Fruit Fly ◽  
Local Extremum ◽  
Experimental Results ◽  
Fruit Fly Optimization Algorithm ◽  
A Algorithm ◽  
Fruit Fly Optimization ◽  
Searching Ability ◽  
Selection Of

Abstract In order to overcome the problem of low convergence precision and easily relapsing into local extremum in fruit fly optimization algorithm (FOA), this paper adds the idea of differential evolution to fruit fly optimization algorithm so as to optimizing and a algorithm of fruit fly optimization based on differential evolution is proposed (FOADE). Adding the operating of mutation, crossover and selection of differential evolution to FOA after each iteration, which can jump out local extremum and continue to optimize. Compared to FOA, the experimental results show that FOADE has the advantages of better global searching ability, faster convergence and more precise convergence.

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