An Efficient Genetic Algorithm Based on Adaptive Boundary Constraint

被引：0

作者：

Huang, Ming ^{[1
]}

Wang, Longbo ^{[2
]}

Xiao, Minghong ^{[1
]}

Fu, Yu ^{[1
]}

Zuo, Zhengkang ^{[3
]}

机构：

[1] Guangxi Zhuang Autonomous Region Institute of Geographical Information and Surveying, Liuzhou,545005, China

[2] Department of Natural Resources, Guangxi Zhuang Autonomous Region, Nanning,530022, China

[3] College of Mining Engineering, Taiyuan University of Technology, Taiyuan,030024, China

来源：

Beijing Daxue Xuebao (Ziran Kexue Ban)/Acta Scientiarum Naturalium Universitatis Pekinensis | 2024年 / 60卷 / 04期

关键词：

Genetic algorithms;

D O I：

10.13209/j.0479-8023.2024.049

中图分类号：

学科分类号：

摘要：

According to the lack of method for highly efficiently spawning coefficients for multi-parent recombination in real-encoded genetic algorithm, an efficient genetic algorithm based on adaptive boundary constraint (ABC) is proposed. This method quickly generates coefficient vectors by adaptively scaling the boundary of the subsequent coefficient based on the value of the previous one, allowing for efficient reconstitution under any number of parent recombination scenarios. Experiment results on CEC2017 benchmarks demenstrate that proposed algorithm outperforms EDBF (empirical distribution based framework) a lot in 29 optimization problems. © 2024 Peking University. All rights reserved.

引用

页码：665 / 672

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