Chaotic gaining sharing knowledge-based optimization algorithm: an improved metaheuristic algorithm for feature selection
Author:
Publisher
Springer Science and Business Media LLC
Subject
Geometry and Topology,Theoretical Computer Science,Software
Link
https://link.springer.com/content/pdf/10.1007/s00500-021-05874-3.pdf
Reference73 articles.
1. Abedi M, Gharehchopogh FS (2020) An improved opposition based learning firefly algorithm with dragonfly algorithm for solving continuous optimization problems. Intell Data Anal 24(2):309–338
2. Agrawal P, Ganesh T, Mohamed AW (2020) A novel binary gaining–sharing knowledge-based optimization algorithm for feature selection. Neural Comput Appl pp 1–20
3. Agrawal P, Ganesh T, Mohamed AW (2021)Solving knapsack problems using a binary gaining sharing knowledge-based optimization algorithm. Complex Intell Syst pp 1–21
4. Ahmed S, Mafarja M, Faris H, Aljarah I (2018) Feature selection using salp swarm algorithm with chaos. In: Proceedings of the 2nd international conference on intelligent systems, metaheuristics and swarm intelligence, pp 65–69
5. Al-Tashi Q, Kadir SJA, Rais HM, Mirjalili S, Alhussian H (2019) Binary optimization using hybrid grey wolf optimization for feature selection. IEEE Access 7:39496–39508
Cited by 61 articles. 订阅此论文施引文献 订阅此论文施引文献，注册后可以免费订阅5篇论文的施引文献，订阅后可以查看论文全部施引文献
1. Applications of dynamic feature selection based on augmented white shark optimizer for medical diagnosis;Expert Systems with Applications;2024-12
2. PMSOMA: optical microscope algorithm based on piecewise linear chaotic mapping and sparse adaptive exploration;Scientific Reports;2024-09-06
3. Two-step data clustering for improved intrusion detection system using CICIoT2023 dataset;e-Prime - Advances in Electrical Engineering, Electronics and Energy;2024-09
4. Enhancing soil particle content prediction accuracy: advanced hyperspectral analysis and machine learning models;Journal of Soils and Sediments;2024-08-25
5. Emerging Harris Hawks Optimization for the Environmental Prediction of Mycotoxins in Food-Virtual Water Samples: A Comparative Study of Nature-Inspired Algorithms;2024-07-29
1.学者识别学者识别
2.学术分析学术分析
3.人才评估人才评估
"同舟云学术"是以全球学者为主线，采集、加工和组织学术论文而形成的新型学术文献查询和分析系统，可以对全球学者进行文献检索和人才价值评估。用户可以通过关注某些学科领域的顶尖人物而持续追踪该领域的学科进展和研究前沿。经过近期的数据扩容，当前同舟云学术共收录了国内外主流学术期刊6万余种，收集的期刊论文及会议论文总量共计约1.5亿篇，并以每天添加12000余篇中外论文的速度递增。我们也可以为用户提供个性化、定制化的学者数据。欢迎来电咨询！咨询电话：010-8811{复制后删除}0370
www.globalauthorid.com
TOP
Copyright © 2019-2024 北京同舟云网络信息技术有限公司 京公网安备11010802033243号 京ICP备18003416号-3