Title :
Development of Golden Section Search Driven Particle Swarm Optimization and its Application
Author :
Oh, Sehoon ; Hori, Yoichi
Author_Institution :
Inst. of Ind. Sci., Tokyo Univ.
Abstract :
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
Keywords :
numerical control; particle swarm optimisation; search problems; NC controller system; golden section search; hardware-in-the-loop system; industrial application; parameter tuning system; particle swarm optimization; steepest descent method; Algorithm design and analysis; Application software; Computer industry; Control systems; Design methodology; Design optimization; Electrical equipment industry; Filters; Industrial control; Particle swarm optimization; golden section search; hardware-in-the-loop; parameter tuning; particle swarm optimization; precision motion control; steepest descent method;
Conference_Titel :
SICE-ICASE, 2006. International Joint Conference
Conference_Location :
Busan
Print_ISBN :
89-950038-4-7
Electronic_ISBN :
89-950038-5-5
DOI :
10.1109/SICE.2006.314857
