Chameleon Swarm Algorithm Assisted Optimization of U-Slot Patch Antenna for Quad-Band Applications

Existing optimization algorithms are insufficient in the face of problems with difficult measurement functions as well a large number design parameters. Therefore, to achieve such challenging applications, Chameleon swarm algorithm and its variants, which belong family meta-heuristic that have not been used any antenna study before, together 3 different objective fitted from mathematical models. Then, U-slot application 12 variable parameters resonance frequencies 3.5 GHz, 3.7 5.2 GHz 5.8 is considered multidimensional single-objective problem. In this study, first all, success reinforced by comparing performance other commonly single multi-objective algorithms. addition, results obtained population parameters, weight coefficients, variant models were compared. All these processes compared within themselves, most successful result displayed 3D electromagnetic simulation. The show proposed for an designer safe, practical efficient solution applications. problem can undoubtedly be adapted algorithm.