Abstract Whale Optimization Algorithm (WOA) is an optimization algorithm developed by
Mirjalili and Lewis in 2016. An overview of WOA is described in this paper, rooted from the …

In recent years, the research community has witnessed an explosion of literature dealing
with the mimicking of behavioral patterns and social phenomena observed in nature towards …

Automatic generation of optimized flyable path is a key technology and challenge for
autonomous unmanned aerial vehicle (UAV) formation system. Aiming to improve the …

The metaheuristic algorithm is a very important area of research that continuously improves
in solving optimization problems. Nature-inspired is one of the metaheuristic algorithm …

The energy-efficient flexible job shop scheduling problem (FJSP) has attracted much
attention in deterministic cases; however, uncertainty is seldom incorporated into energy …

Surrogate-assisted evolutionary algorithms (SAEAs) are well suited for computationally
expensive optimization. However, most existing SAEAs only focus on low-or medium …

多目标进化算法性能评价指标研究综述 Page 1 第??卷第?期 计算机学报 Vol. ?? No. ? 20??年
?月 CHINESE JOURNAL OF COMPUTERS ???. 20?? 收稿日期:年-月-日;最终修改稿收到日期 …

Energy conservation is a major challenge in the Internet of Things (IoT) as the number of
resource‐constrained devices is connected to the network. Routing plays a vital role in IoT to …

This article presents a surrogate-assisted multiswarm optimization (SAMSO) algorithm for
high-dimensional computationally expensive problems. The proposed algorithm includes …

In recent years, both distributed scheduling problem and energy-efficient scheduling have
attracted much attention. As the integration of these two problems, the distributed energy …