PSOGSA-explore: a new hybrid metaheuristic approach for beampattern optimization in collaborative beamforming
A conventional collaborative beamforming (CB) system suffers from high sidelobes due to the random positioning of the nodes. This paper introduces a hybrid metaheuristic optimization algorithm called the Particle Swarm Optimization and Gravitational Search Algorithm-Explore (PSOGSA-E) to suppress th...
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| Main Authors: | , , |
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| Format: | Article |
| Published: |
Elsevier BV
2015
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| Subjects: | |
| Online Access: | http://eprints.utm.my/id/eprint/55114/ http://dx.doi.org/10.1016/j.asoc.2015.01.024 |
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| Institution: | Universiti Teknologi Malaysia |