Title :
A Novel Micro-Particle Swarm Optimizer for Solving High Dimensional Optimization Problems
Author :
Huang, Tony ; Mohan, Ananda S.
Author_Institution :
Fac. of Eng., Univ. of Technol.,, Sydney, NSW
Abstract :
This paper proposes the use of muPSO for solving high dimensional optimization problems. As the majority of the computational cost for solving optimization problems is spent on evaluating the fitness of potential solutions, which are dominated by the population size, the small population size of the proposed muPSO can reduce this cost significantly while providing an excellent optimization performance. The simulations results have confirmed the effectiveness of the proposed muPSO
Keywords :
particle swarm optimisation; computational cost; high dimensional optimization problems; micro-particle swarm optimizer; muPSO; population size; Australia; Buildings; Cities and towns; Computational efficiency; Design engineering; Design optimization; Laboratories; Microwave communication; Microwave technology; Space exploration;
Conference_Titel :
Antennas and Propagation Society International Symposium 2006, IEEE
Conference_Location :
Albuquerque, NM
Print_ISBN :
1-4244-0123-2
DOI :
10.1109/APS.2006.1711381
