An Improved Mixed-Integer Multi-Objective Particle Swarm Optimization And Its Application In Antenna Array Design
2013 5TH IEEE INTERNATIONAL SYMPOSIUM ON MICROWAVE, ANTENNA, PROPAGATION AND EMC TECHNOLOGIES FOR WIRELESS COMMUNICATIONS (MAPE)(2013)
摘要
An improved mixed-integer particle swarm optimization (MI-PSO) algorithm is presented, which is called asynchronous updating particle swarm optimization (AU-PSO). The proposed algorithm speeds up convergence rate of PSO by handling discrete and continuous decision variables differently. The discrete variables have a possibility holding previous values, while the continuous variables are treated normally. This kind of treatment provides more chances to find a better solution. The proposed AU-PSO is then examined by test functions and successfully applied in a design of circular antenna array.
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关键词
component, mixed-integer, particle swarm optimization, antenna array design
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