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

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 …

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

This study proposes a multi-objective sparrow search algorithm (MOSSA) based on a 2k
crowding-distance entropy and the optimal strategy of the positions to solve complex multi …

Flame image recognition is of great significance in the fire detection and prevention. In this
paper, in order to improve the accuracy of fire recognition, a fast stochastic configuration …

The job scheduling paradigms include dispatching Internet of Things (IoT) critical services
onto processing nodes. Here most energy is consumed in finding suitable virtual machines …

Cluster-based routing is the most common routing approach to achieve energy efficiency in
wireless sensor networks. However, optimal determination of cluster heads is NP-hard …

Wireless sensor networks (WSNs) are a distributed collection of sensor nodes which are
distributed geographically in the deployed environment to sense the natural phenomena …

The autonomous distribution systems used in smart parks against the background of
Industry 5.0 require not only the consideration of the single goal of the economic benefits of …

Wireless Sensor Networks (WSNs) play an important role in underground mining
applications. In particular, they help to collect information using sensors and provide …