有关遗传算法最新发展的4篇论文推荐

有关遗传算法最新发展的4篇论文推荐

1、A GPU accelerated Genetic Algorithm for the Construction of Hadamard Matrices

Andras Balogh, Raven Ruiz

这篇论文使用遗传算法来构建Hadamard矩阵。生成随机矩阵的初始群体是除第一列全部是+1以外，每列中都是平衡数量的+1和-1项。通过实现了多个适应度函数并进行筛选，找到了最有效的适应度函数。交叉过程是通过交换父矩阵种群的列来生成子代矩阵种群。突变过程为在随机列中翻转+1和-1条目对。为了加快计算速度，使用CuPy库在GPU上并行处理数千个矩阵和矩阵操作。

2、Cosmic Inflation and Genetic Algorithms

Steven Abel, Andrei Constantin, Thomas R. Harvey, Andre Lukas

这是一篇关于粒子物理学和遗传算法结合的论文，我个人的理解是通过遗传算法来构造宇宙膨胀的模型，这里面专业属于很多，所以贴下论文的摘要吧：

Large classes of standard single-field slow-roll inflationary models consistent with the required number of e-folds, the current bounds on the spectral index of scalar perturbations, the tensor-to-scalar ratio, and the scale of inflation can be efficiently constructed using genetic algorithms. The setup is modular and can be easily adapted to include further phenomenological constraints. A semi-comprehensive search for sextic polynomial potentials results in roughly O(300,000) viable models for inflation. The analysis of this dataset reveals a preference for models with a tensor-to-scalar ratio in the range 0.0001 < r < 0.0004. We also consider potentials that involve cosine and exponential terms. In the last part we explore more complex methods of search relying on reinforcement learning and genetic programming. While reinforcement learning proves more difficult to use in this context, the genetic programming approach has the potential to uncover a multitude of viable inflationary models with new functional forms.

3、Genetic algorithms for the resource-constrained project scheduling problem in aircraft heavy maintenance

 

完整文章：

https://avoid.overfit.cn/post/fc347012fbab44b1b48e201d367221a5