PSOGSA-explore: a new hybrid metaheuristic approach for beampattern optimization in collaborative beamforming

• المؤلفون الرئيسيون: Jayaprakasam, Suhanya, Abdul Rahim, Sharul Kamal, Leow, Cheeyen
• التنسيق: مقال
• منشور في: Elsevier BV 2015
• الموضوعات: TK Electrical engineering. Electronics Nuclear engineering
• الوصول للمادة أونلاين: http://eprints.utm.my/id/eprint/55114/; http://dx.doi.org/10.1016/j.asoc.2015.01.024

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...