Swarm Intelligence (SI) is a concept used by artificial intelligence to solve decision making problems. An Ant Colony Optimization (ACO) algorithm is inspired by SI algorithms uses multiple agents that interact locally and simple rules to find a globally valid solution. A version of ACO is implemented to automatically design the microstrip patch antenna. The experimental antenna is designed operates at 3.5 GHz with bandwidth 50 - 170 MHz.
Automated Design of Microstrip Patch Antenna Using Ant Colony Optimization / Vu Tung, Lam; Ho Manh, Linh; Dao Ngoc, Chien; Beccaria, Michele; Pirinoli, Paola. - ELETTRONICO. - (2019), pp. 587-590. (Intervento presentato al convegno International Conference on Electromagnetics in Advanced Applications (ICEAA) 2019 tenutosi a Granada nel 9/13 Sept. 2019) [10.1109/ICEAA.2019.8879031].
Automated Design of Microstrip Patch Antenna Using Ant Colony Optimization
Michele Beccaria;Paola Pirinoli
2019
Abstract
Swarm Intelligence (SI) is a concept used by artificial intelligence to solve decision making problems. An Ant Colony Optimization (ACO) algorithm is inspired by SI algorithms uses multiple agents that interact locally and simple rules to find a globally valid solution. A version of ACO is implemented to automatically design the microstrip patch antenna. The experimental antenna is designed operates at 3.5 GHz with bandwidth 50 - 170 MHz.File | Dimensione | Formato | |
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Automated_Design_of_Microstrip_Patch_Antenna_Using_Ant_Colony_Optimization.pdf
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https://hdl.handle.net/11583/2738201