Hybrid_MRFO-OBHSA
Hybrid Wrapper Algorithm combining Manta Ray Foraging Optimization and Opposition-Based Harmony Search. The final population generated by MRFO is used as the initial population in OBHSA.
python main.py --csv_name "/path/to/csv/features.csv"
Other available parameters are: --csv_headers whose default value no suggests that the csv file has no headers. Change to yes if your file has headers. --generations has the default value of 20 meaning each algorithm (OBHSA and MRFO) will run for 20 generations to generate the populations. popSize has the default value of 20, i.e., the deafult size of population is 20.