By Topic

Hybrid Real-Binary Particle Swarm Optimization (HPSO) in Engineering Electromagnetics

Sign In

Cookies must be enabled to login.After enabling cookies , please use refresh or reload or ctrl+f5 on the browser for the login options.

Formats Non-Member Member
$31 $13
Learn how you can qualify for the best price for this item!
Become an IEEE Member or Subscribe to
IEEE Xplore for exclusive pricing!
close button

puzzle piece

IEEE membership options for an individual and IEEE Xplore subscriptions for an organization offer the most affordable access to essential journal articles, conference papers, standards, eBooks, and eLearning courses.

Learn more about:

IEEE membership

IEEE Xplore subscriptions

2 Author(s)
Nanbo Jin ; Dept. of Electr. Eng., Univ. of California, Los Angeles, CA, USA ; Rahmat-Samii, Y.

The applications of a hybrid real-binary particle swarm optimization (HPSO) algorithm in engineering electromagnetics are described. In HPSO, each candidate design is designated by a hybridized vector consisting of both real and binary variables. These variables are evolved in the optimization by following the velocity/position updating formulas of real-number PSO (RPSO) and binary PSO (BPSO), respectively. Both single- and multi-objective implementations of the algorithm are validated by functional testbeds. Simulation and measurement results of three examples, i.e, the design of a non-uniform antenna array, a multilayered planar radar absorbing material (RAM) and a dual-band handset antenna are presented, in order to illustrate the effectiveness of the algorithm in representative topology exploration and material selection problems.

Published in:

Antennas and Propagation, IEEE Transactions on  (Volume:58 ,  Issue: 12 )