Research on PSO algorithms for the rectangular packing problem

A Multi-Center PSO Algorithm with Memory Ability and Its Application to the Online Modelling of an Underwater Vehicle Thruster

“…Particle swarm optimization (PSO) is one of the most important swarm intelligence paradigms [1]. Due to its simple structure, strong operability and easy to implement, PSO algorithm has many successful applications seen in solving real-world optimization problems, such as controller parameters tuning [2], rectangular packing problem [3], neural network optimization [4], large-scale social network clustering solution and are easy to get trapped in the local optimum, especially in the largescale complex optimization problem [7]. To improve the performance of PSO, many methods are proposed, such as the adjustment of inertia weight, learning factors or social factors [8], improve the search strategy or add auxiliary operations [9], integrate with other algorithms [10] and so on.…”