Dynamic allocation of opposition-based learning in differential evolution for multi-role individuals (DAODE)
This is an academic paper published in Electronic Research Archive. You can retrieve it via the following link:https://doi.org/10.3934/era.2024149.
The following is some important information about it: "Title": Dynamic allocation of opposition-based learning in differential evolution for multi-role individuals. "Journal": Electronic Research Archive. "Author": Jian Guan, Fei Yu, Hongrun Wu, Yingpin Chen, Zhenglong Xiang, Xuewen Xia, Yuanxiang Li. "keywords": metaheuristic algorithms (MAs); opposition-based learning; differential evolution (DE); dynamic allocation; ranking mechanism.
The following is the main information of the code： main.m : It is a main file. DAODE.m : The core implementation code of DAODE. OBL_POOL.m : The execution program of the OBL policy pool. INI_OBL_POOL.m : OBL strategy pool utilized for initializing the population. input_data : Input data for CEC2017 benchmark suite. save_data : Data files required for dynamic allocation of OBL.