This package is used for numeric optimization of single objective problem
Author: Ranchard Zheng
Email: ranchardzheng@ruc.edu.cn
Affiliation: MMC Lab of Renmin University of China
After cloning this package, you need to modify the CODE_PATH and DATA_PATH in constant.py
The basic usage would be:
from bee import ABC
spe = ABC(50, 30, 'Rastrigin', max_evaluations = 300000, observe_points = range(10000, 310000, 10000))
spe.evolveSpecies()
fist argument refers to the population size, second one refers to the number of problem dimensions other arguments are self-explained.
if you specify the keyword argument (archive_switch = True, projectName = some_name, experimentName = another_name) in the initialization like this
spe = ABC(50, 30, 'Rastrigin', max_evaluations = 300000, observe_points = range(10000, 310000, 10000),\
archive_switch = True, projectName = 'test', experimentName = 'testABC')
the data collected at every iteration will be stored to the DATA_PATH/projectName/experimentName