Dongyang Li1, Shiyu Du2,*, Yiming Zhang2, Meiting Zhao3
CMC-Computers, Materials & Continua, Vol.75, No.2, pp. 2775-2803, 2023, DOI:10.32604/cmc.2023.035911
Abstract Metaheuristic algorithms, as effective methods for solving optimization problems, have recently attracted considerable attention in science
and engineering fields. They are popular and have broad applications owing
to their high efficiency and low complexity. These algorithms are generally
based on the behaviors observed in nature, physical sciences, or humans. This
study proposes a novel metaheuristic algorithm called dark forest algorithm
(DFA), which can yield improved optimization results for global optimization problems. In DFA, the population is divided into four groups: highest
civilization, advanced civilization, normal civilization, and low civilization.
Each civilization has a unique way of iteration. To verify DFA’s… More >