Competition-Driven Multimodal Multiobjective Optimization and Its Application to Feature Selection for Credit Card Fraud Detection
Author:
Affiliation:
1. College of Computer Science and Technology, Nanjing University of Aeronautics and Astronautics, Nanjing, China
2. Department of Electrical and Computer Engineering, New Jersey Institute of Technology, Newark, NJ, USA
Funder
National Natural Science Foundation of China
Natural Science Foundation of Jiangsu Province
Fundo para o Desenvolvimento das Ciencias e da Tecnologia
Publisher
Institute of Electrical and Electronics Engineers (IEEE)
Subject
Electrical and Electronic Engineering,Computer Science Applications,Human-Computer Interaction,Control and Systems Engineering,Software
Link
http://xplorestaging.ieee.org/ielx7/6221021/9954241/09783459.pdf?arnumber=9783459
Reference68 articles.
1. A self-organized speciation based multi-objective particle swarm optimizer for multimodal multi-objective problems
2. A cluster based PSO with leader updating mechanism and ring-topology for multimodal multi-objective optimization
3. Omni-optimizer: A Procedure for Single and Multi-objective Optimization
4. A Review of Evolutionary Multimodal Multiobjective Optimization
5. Solving Multimodal Multiobjective Problems Through Zoning Search
Cited by 49 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. A clustering-assisted adaptive evolutionary algorithm based on decomposition for multimodal multiobjective optimization;Swarm and Evolutionary Computation;2024-12
2. An online fuzzy fraud detection framework for credit card transactions;Expert Systems with Applications;2024-10
3. An improved Genghis Khan optimizer based on enhanced solution quality strategy for global optimization and feature selection problems;Knowledge-Based Systems;2024-10
4. Hybrid Operator and Strengthened Diversity Improving for Multimodal Multi-Objective Optimization;Tsinghua Science and Technology;2024-10
5. Evolutionary computation for feature selection in classification: A comprehensive survey of solutions, applications and challenges;Swarm and Evolutionary Computation;2024-10
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