Because of the important role of infeasible information in solving multi-objective optimization problems by evolutionary algorithms, this paper uses infeasible information to improve the priority and ...

Multimodal multiobjective optimization problems (MMOPs) are commonly seen in real-world applications. Many evolutionary algorithms have been proposed to solve continuous MMOPs. However, little effort ...

They are some of the most intensely studied species on Earth, and yet there is no comprehensive molecular phylogenetic hypothesis of primate evolutionary history that summarizes the pattern and timing ...