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Chenhua Xu1, Wenjie Zhang1, Zhicheng Tu1
1School of Automation, Guangdong Polytechnic Normal University, Guangzhou 510665, China.
改进的火焰优化 (IMFO) 算法增强了复杂优化问题的种群多样性和搜索平衡. 它在功能优化和工程应用中表现出卓越的精度和稳定性.
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