Practical optimization problems often involve a large number of variables, and solving them
in a reasonable amount of time becomes a challenge. Competitive swarm optimizer (CSO) is …

Differential evolution (DE) algorithm is prone to premature convergence and local
optimization in solving complex optimization problems. In order to solve these problems, the …

The population structure of differential evolution (DE) algorithm cannot maintain the diversity
of the population to the greatest extent and help the population avoid to fall into the local …

In this paper, a new fractional-order (FO) PIλDµ controller is designed with the desired gain
and phase margin for the automatic rudder of underactuated surface vessels (USVs). The …

Abstract The Particle Swarm Optimization technique (PSO) is widely used in practical
applications due to its flexibility and strong optimization performance. However, like other …

Particle swarm optimization (PSO) is one of the most well-regard metaheuristics with
remarkable performance when solving diverse optimization problems. However, PSO faces …

Bearings are a core component of rotating machinery, and directly affect its reliability and
operational efficiency. Effective evaluation of a bearing's operational state is key to ensuring …

Path planning technology is an important guarantee for the safe navigation of autonomous
underwater vehicle (AUV) in water, and it is also an important indicator of the intelligence of …

Particle swarm optimization (PSO) has been widely applied in solving optimization
problems. Despite a multitude of PSO variants that have been proposed thus far, they still …

Investigation of power distribution systems is an attractive field in the power system analysis.
The location and size of Distributed Generation (DG) are important and an uncontrollable …