Mobile robot path planning refers to the design of the safely collision-free path with shortest
distance and least time-consuming from the starting point to the end point by a mobile robot …

Mathematical programming and meta-heuristics are two types of optimization methods. Meta-
heuristic algorithms can identify optimal/near-optimal solutions by mimicking natural …

Carbon dioxide is one of the most important pollutants in urban areas. Since the relationship
between the factors of road transport and CO 2 emission is often complex, using methods …

In recent years, swarm intelligence algorithms have received extensive attention and
research. Swarm intelligence algorithms are a biological heuristic method, which is widely …

The remaining useful life (RUL) estimation is one of the key functions of lithium-ion battery
management systems (BMS). After the battery reaches its end-of-life (EOL), its capacity …

Wind power generation technology has attracted worldwide attention. However, its inherent
nonlinearity and uncertainty make itself hard to be accurately predicted. As a result …

The traveling salesman problem (TSP) is one of the most intensively studied problems in
computational mathematics. This paper proposes a swarm intelligence approach using a …

This paper reviews the latest versions and applications of sparrow search algorithm (SSA). It
is a recent swarm-based algorithm proposed in 2020 rapidly grew due to its simple and …

At present, the energy consumption of the parallel chillers system accounts for about 60% of
the whole energy consumption of central air conditioning system and 25–40% of the total …

Advancements in electronics and software have enabled the rapid development of
unmanned aerial vehicles (UAVs) and UAV-assisted applications. Although the mobility of …