def parallel_GA(cluster, pop_size=1024, tpb=32, seed=1, num_iter=100, num_elites=32, tournament_size=4, mutate_prob=0.08):
时间: 2024-05-31 10:10:13 浏览: 13
这是一个并行实现的遗传算法函数,接受以下参数:
- cluster:用于并行计算的集群对象。
- pop_size:种群大小。
- tpb:每个线程块的线程数量。
- seed:随机数种子。
- num_iter:迭代次数。
- num_elites:精英个体数量。
- tournament_size:竞赛选择的比赛规模。
- mutate_prob:变异概率。
该函数的主要作用是通过遗传算法来优化某个函数的输入参数,返回最优解。
相关问题
os.environ["OPENBLAS_NUM_THREADS"] = "1"
This line of code sets the environment variable OPENBLAS_NUM_THREADS to the value of 1.
OPENBLAS_NUM_THREADS is a variable used by the OpenBLAS library, which is an open-source implementation of the Basic Linear Algebra Subprograms (BLAS) and the Linear Algebra Package (LAPACK) libraries. These libraries provide optimized routines for performing common linear algebra operations, such as matrix multiplication and matrix inversion.
Setting OPENBLAS_NUM_THREADS to 1 specifies that the library should use only one thread for parallel execution. This can be useful in situations where the overhead of thread creation and synchronization outweighs the benefits of parallel execution, or when running on a system with limited resources.
os.environ["OMP_NUM_THREADS"] = "1"
This line of code sets the environment variable "OMP_NUM_THREADS" to the value "1".
The OpenMP library is used for parallel computing on shared memory systems, and the OMP_NUM_THREADS variable determines the number of threads that will be used for parallel processing.
Setting it to "1" means that only one thread will be used, which can be useful for debugging or for ensuring reproducibility of results. However, it can also result in slower performance if the program is designed to take advantage of parallel processing.
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