A population state evaluation-based improvement framework for differential evolution

Author:

Li ChunleiORCID,Sun Gaoji,Deng LibaoORCID,Qiao Liyan,Yang GuoqingORCID

Funder

National Natural Science Foundation of China

Natural Science Foundation of Shandong Province

Publisher

Elsevier BV

Subject

Artificial Intelligence,Information Systems and Management,Computer Science Applications,Theoretical Computer Science,Control and Systems Engineering,Software

Reference50 articles.

1. Differential evolution: a recent review based on state-of-the-art works;Ahmad;Alex. Eng. J.,2022

2. Population diversity measurement methods to analyze the behavior of differential evolution algorithm;Akhila;Int. J. Control Theory Appl.,2016

3. A novel beta differential evolution algorithm-based fast multilevel thresholding for color image segmentation;Bhandari;Neural Comput. Appl.,2020

4. An adaptive differential evolution framework based on population feature information;Cao;Inf. Sci.,2022

5. Bernstain-search differential evolution algorithm for numerical function optimization;Civicioglu;Expert Syst. Appl.,2019

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