Data for "Optimal Static Mutation Strength Distributions for the (1+λ) Evolutionary Algorithm on OneMax"

This collection contains the data (and the copy of the code that generated that data) for the paper "Optimal Static Mutation Strength Distributions for the (1+λ) Evolutionary Algorithm on OneMax" accepted for the GECCO 2021 conference. The files are: one-plus-lambda-on-onemax.tar.gz: the source code to reproduce the experiments. algorithm-expectations-flat.csv: the expected running times of various \((1+\lambda)\) algorithms, including the one that uses optimal distributions. static-N-distributions.csv: the distributions optimized by CMA-ES, where N is the problem size. static-N-distribution-stddev.csv: maximum deviation between the distributions over the "accepted" runs. static-N-deviations.csv: the sorted deviations of the outcomes of distribution optimization compared to the best achieved runs. static-N-summary.csv: the expected running times of the \((1+\lambda)\) EA using the optimal distribution. static-N-fitness-log.csv: fitness traces from the optimization runs.本数据集包含已被GECCO 2021会议录用的论文《针对OneMax问题（OneMax）上的(1+λ)进化算法（(1+λ) Evolutionary Algorithm）的最优静态突变强度分布》的相关数据，以及生成该数据的源代码副本。本数据集包含的文件如下：1. `one-plus-lambda-on-onemax.tar.gz`：用于复现本研究所有实验的源代码；2. `algorithm-expectations-flat.csv`：各类(1+λ)进化算法的预期运行时长数据，其中涵盖采用最优突变强度分布的算法对应的结果；3. `static-N-distributions.csv`：由CMA-ES（协方差矩阵自适应进化策略）优化得到的突变强度分布，其中N代表问题规模；4. `static-N-distribution-stddev.csv`：所有符合要求的实验运行中，各分布间的最大偏差值；5. `static-N-deviations.csv`：分布优化结果与最优运行结果之间的偏差值的已排序文件；6. `static-N-summary.csv`：采用最优突变强度分布的(1+λ)进化算法的预期运行时长汇总数据；7. `static-N-fitness-log.csv`：优化运行过程中的适应度轨迹记录。