Association rule mining based parameter adaptive strategy for differential evolution algorithms

Author:

Wang ChuanORCID,Liu Yancheng,Zhang Qinjin,Guo Haohao,Liang Xiaoling,Chen Yang,Xu Minyi,Wei Yi

Funder

atural Science Foundation of China

Natural Science Foundation of Liaoning Province

Education Department General Project of Liaoning Province

Doctoral Scientific Research Foundation Project of Liaoning Province

Yong Elite Scientists Sponsorship Program By CAST

Publisher

Elsevier BV

Subject

Artificial Intelligence,Computer Science Applications,General Engineering

Reference61 articles.

1. The self-adaptive Pareto differential evolution algorithm;Abbass,2002

2. Modenar: Multi-objective differential evolution algorithm for mining numeric association rules;Alatas;Applied Soft Computing,2008

3. Differential evolution training algorithm for dendrite morphological neural networks;Arce;Applied Soft Computing,2018

4. Differential evolution algorithm as a tool for optimal feature subset selection in motor imagery EEG;Baig;Expert Systems with Applications,2017

5. Teaching and learning best differential evoltuion with self adaptation for real parameter optimization;Biswas,2013

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