A modified Simple Particle Swarm optimization algorithm

作者：Li Chunquan^*; Liu Xiaoping; Xu Shaoping

来源：Journal of Computational Information Systems, 2012, 8(19): 8057-8064.

• Benchmark functions
• Calculation time
• Classical particle
• Convergence performance
• Fast convergence
• High-quality solutions
• Inertia weight
• Local optimal
• Particle optimization
• Particle swarm optimization algorithm
• Swarm algorithms

A novel Modified Simple Particle Optimization Swarm (MSPSO) that introduces the leap factor and removes inertia weight factor, velocity item and the local optimal parameter, is proposed, and six benchmark functions is employed to evaluate the MSPSO performance. The experimental results indicate that compared with the Simplified Particle Optimization Swarm (SPSO) and the Classical Particle Optimization Swarm (CPSO), MSPSO possesses a simpler structure, high-quality solution within shorter calculation time, and stable and fast convergence characteristic.

• 出版日期2012