Development of Golden Section Search Driven Particle Swarm Optimization and its Application
Sehoon Oh, Yoichi Hori · 2006 SICE-ICASE International Joint Conference · 2006
The particle swarm optimization (PSO), although it has been widely used in various fields, has a step-size problem, which deteriorates optimization performance. This problem is resolved using the golden section search (GSS) and the steepest descent method. We also design a filter that will improve optimization performance of the proposed algorithm. The effectiveness of the proposed algorithm, including for which type of problems the proposed algorithm is adequate, is verified using some benchmark problems. Moreover, a hardware-in-the-loop system which consists of a NC system with two motors and a computer that optimizes control parameters of the NC controller is introduced as an industrial application