Particle swarm optimization (PSO) algorithm has a potential to solve route planning problem
for unmanned aerial vehicle (UAV). However, the traditional PSO algorithm is easy to fall …

Spherical search algorithm (SSA) calculates the spherical boundary and generates new
solutions on it by two sub-populations jointly. Many researches have shown that SSA is a …

The aggregation of individuals facilitates local information exchange, and the migration of
individuals from one population to another leads to a dynamic community structure. In …

There are many tricky optimization problems in real life, and metaheuristic algorithms are the
most effective way to solve optimization problems at a lower cost. The dung beetle …

This paper presents an effective algorithm, called the Fermat-Weber location particle swarm
optimization (FWL-PSO), developed for cooperative path planning of Unmanned Aerial …

The trade-off between exploitation and exploration is a dilemma inherent to particle swarm
optimization (PSO) algorithms. Therefore, a growing body of PSO variants is devoted to …

Been trapped by local minimums is an important problem in no-linear optimization problems,
which is blocking evolutionary algorithms to find the global optimum. Normally, to increase …

尽管目前粒子群优化(PSO) 算法在求解很多优化问题上表现出了良好的性能,
但如何在保持种群多样性的同时确保收敛精度, 防止群体陷入局部最优, 平衡勘探与开发之间的 …

Metaheuristics are widely used in science and industry because it as a high-level heuristic
technique can provide robust or advanced solutions compared to classical search …

Guiding exemplar selection plays a crucial role in assisting particle swarm optimization
(PSO) to gain satisfactory performance. To improve the effectiveness in helping PSO solve …