The problem of backfilling pipeline invalidation has become a bottleneck restricting the
application and development of backfilling technology. This study applied the whale …

A modified method of particle swarm optimization (PSO) has been developed in the article. It
is based on a diversity mechanism (DM), which greatly improves optimization method …

With the advent of the Internet of Things (IoT) era, various application requirements have put
forward higher requirements for data transmission bandwidth and real‐time data processing …

Particle swarm optimization (PSO) is a swarm intelligence-based metaheuristic algorithm
inspired by the natural behavior of birds flocking or fish schooling. The PSO's main …

Evolutionary algorithms can be successfully exploited for carrying on an effective design of
beam-scanning passive reflectarrays, even if the problem is highly non-linear and …

The optimization problem of cloaking a perfectly electric conducting or dielectric spherical
core is investigated. The primary excitation is due to an external magnetic dipole. The …

Recognition and analytics at the edge enable utility companies to predict and prevent
problems in real time. Clearing the voltage sag disturbance source by the positioning …

In this paper, an improved quantum-behaved particle swarm optimization (QPSO) approach
for modeling antenna impedance is illustrated. In the proposed study, the enhanced …

Abstract Particle Swarm Optimization (PSO) algorithms are widely used in a plethora of
optimization problems. In this chapter, we focus on applications of PSO algorithms to …

Cardiovascular diseases (CVDs) continue to be a significant global health concern,
demanding the creation of precise and timely prediction models for efficient disease …