Check out RSS, or use RSS reader to subscribe this item
Confirmation
Authentication email has already been sent, please check your email box: and activate it as soon as possible.
You can login to My Profile and manage your email alerts.
Sponsored by the Center for Science and Technology Development of the Ministry of Education
Supervised by Ministry of Education of the People's Republic of China
The general-purpose Particle Swarm Optimization (PSO) method is enriched to enable it to search for both global and robust optimal solutions of a synthesis problem in antenna engineering. In order to reduce the huge computational burden of the expected fitness evaluations, a methodology to assign expected fitness value or robust criterion only to the promising solutions is proposed. Moreover, a new distance-weighted formula to determine the expected fitness of the promising solutions is also introduced. To find both global and robust optimal solutions in a single run, a novel idea is proposed to guide the search intelligently. Finally, one example is studied and their numerical results are reported to demonstrate the effectiveness and advantages of the proposed algorithm, as well as the necessity to conduct robust optimal designs in antenna engineering.
Keywords:Theory and new technoloy of electro-technical engineering; antenna array; particle swarm optimization algorith; robust optimization