北京大学学报（自然科学版）2024，Vol.60Issue(4)：665-672,8.DOI:10.13209/j.0479-8023.2024.049
一种基于自适应边界约束的高效遗传算法
An Efficient Genetic Algorithm Based on Adaptive Boundary Constraint
摘要
Abstract
According to the lack of method for highly efficiently spawning coefficients for multi-parent recom-bination 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 num-ber 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.关键词
最优化理论/遗传算法/系数向量/收敛效率/经验概率分布(EDBF)/自适应边界约束(ABC)Key words
optimization theory/genetic algorithm/coefficient vector/convergence efficiency/empirical distribution based framework (EDBF)/adaptive boundary constraint (ABC)引用本文复制引用
黄铭,王龙波,肖明虹,傅毓,左正康..一种基于自适应边界约束的高效遗传算法[J].北京大学学报（自然科学版）,2024,60(4):665-672,8.基金项目
太原理工大学引进人才科研启动经费(RY2400000591)资助 （RY2400000591）
