The task assignment issue and the path planning problem of Multiple Unmanned Aerial
Vehicles (Multi-UAV) are collectively referred to as the Mission Planning Problem (MPP) …

To tackle ever-changing global water problems, inter-basin water transfer (IBWT) projects
provide water supply alternatives for water-scarce regions and create potential risks for …

The subject of autonomy within unmanned aerial vehicles (UAVs) has proven to be a
remarkable research field–mostly due to the development of AI techniques within embedded …

With the rapid development of warehouse robots in logistics and other industries, research
on their path planning has become increasingly important. Based on the analysis of various …

High-dimensional optimization problems are more and more common in the era of big data
and the Internet of things (IoT), which seriously challenge the optimization performance of …

Simulation optimization problems with stochastic constraints are optimization problems with
deterministic cost functions subject to stochastic constraints. Solving the considered problem …

The use of robot swarms for odor source localization (OSL) can better adapt to the reality of
unstable turbulence and find chemical contamination or hazard sources faster. Inspired by …

Precise representation to undirected weighted network (UWN) is the foundation of
understanding connection patterns inside a massive node set. It can be addressed via a …

Effectively improving the optimization performance of artificial electric field algorithm (AEFA)
and broadening its application domain can aid in providing robot path planning in 3-D …

The world is becoming more digitized with the rise of modular robotic systems. Therefore,
with the increasing demands and needs for robotics, the modular robotic domain was …