A recursive framework for improving the performance of multi-objective differential evolution algorithms for gene selection-Reference-Cited by-同舟云学术

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A recursive framework for improving the performance of multi-objective differential evolution algorithms for gene selection

Published:2024-06 Issue: Volume:87 Page:101546
ISSN:2210-6502
Container-title:Swarm and Evolutionary Computation
language:en
Short-container-title:Swarm and Evolutionary Computation

Author:

Li Min^ORCID,Zhao Yangfan^ORCID,Cao Rutun,Wang Junke,Wu Depeng

Publisher

Elsevier BV

Reference60 articles.

1. Computational modeling and analysis of microarray data: new horizons;Ruskin;Microarrays,2016

2. Optimization based tumor classification from microarray gene expression data;Dagliyan;PLoS ONE,2011

3. Recursive Memetic Algorithm for gene selection in microarray data;Ghosh;Expert Syst. Appl.,2019

4. Multi-objective feature selection based on quasi-oppositional based Jaya algorithm for microarray data;Chaudhuri;Knowl. Based Syst.,2022

5. An improved multi-objective marine predator algorithm for gene selection in classification of cancer microarray data;Fu;Comput. Biol. Med.,2023

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