一个增强的连接银行系统优化器,结合了解决全球优化问题的三重机制.
Dake Qian1, Xinyu Cai2, Leidong Feng3
1School of Economics, Jiaxing University, Jiaxing, 314001, China.
Scientific reports
|February 7, 2026
概括
增强的联网银行系统优化器 (ECBSO) 算法通过解决全球搜索和过早停滞的局限性来改善CBSO. 在复杂的工程问题中,ECBSO在优化任务中表现出卓越的表现.
科学领域:
- 计算智能是一种计算智能.
- 优化算法 优化算法
- 进行元启发式学习.
背景情况:
- 连接银行系统优化器 (CBSO) 是一种灵感来自金融交易的元启发式.
- 在复杂的景观中,CBSO表现出弱点,包括有限的全球搜索和过早的停滞.
研究的目的:
- 引入一个增强的变体,ECBSO,以克服CBSO的局限性.
- 提高全球搜索能力,平衡勘探/开采,防止停滞.
主要方法:
- 开发了ECBSO,主要是群体指导,指导学习和混合精英战略.
- 在CEC 2017基准套件和现实工程问题上对ECBSO进行了评估.
主要成果:
- 欧洲央行显著超过了CBSO和其他最先进的算法 (ISGTOA,EMTLBO,LSHADE,APSM-jSO,GLS-MPA,ESLPSO,ACGRIME,RDGMVO) 的表现.
- 在所有测试案例中,ECBSO以卓越的趋同准确性和可靠性获得了第一名.
结论:
- 与现有方法相比,ECBSO提供了更高的优化精度和搜索可靠性.
- 拟议的补充机制有效地解决了CBSO在复杂的优化场景中固有的弱点.
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