Particle swarm optimization (PSO), like other population-based meta-heuristics, is
intrinsically parallel and can be effectively implemented on Graphics Processing Units …

This paper describes our latest implementation of Particle Swarm Optimization (PSO) with
simple ring topology for modern Graphic Processing Units (GPUs). To achieve both the …

We present four new parallel and distributed particle swarm optimization methods consisting
in a genetic algorithm whose individuals are co-evolving swarms, an “island model”-based …

In the original particle swarm optimization algorithm, particles' update is done
synchronously. The whole swarm fitness is evaluated first before particle update process is …

The vision location system of the picking robot, which is an important part of the robot, is
mainly used to detect the spatial position of the fruit and provide the motion control system of …

Despite considerable popularity, the mechanisms that govern the behavior of Particle
Swarm Optimization (PSO) are still a subject of research. Regarding communication …

In this paper, we study Particle Swarm Optimization (PSO) as a collective search mechanism
for individuals (such as aerial micro-robots) which are supposed to search in environments …

The notion of" superpeer" has been shown to be very effective to increase the scalability of
P2P applications. For superpeer systems to work, it is critical to preserve the optimal ratio …

# X!" 编码虽然传统的?+ P 算法应用于连续优化问题取得的较大的成功, 但是在解具体的问题时,
I 个非常关键的工作就是如何针对解空间的特性进行简单, 直观并且没有冗余信息的编码 …