How chaotic sequences and generator sequencing affect the particle trajectory in PSO

Abstract

As chaotic sequences became more popular within the evolutionary computation community; we choose to address some of the issues that occur when the extremely sensitive chaotic systems are embedded into the Particle Swarm Optimization algorithm. We investigate here the particle trajectory change with changing chaotic systems and with different sequencing. This research highlights several significant trends through the 2D graphical visualizations and 10D statistics, and further, it provides advice for future studies in this area of hybridizing of complex dynamics and swarm based algorithms.