{'fraction_non_alphanumeric': 0.033210332103321034, 'fraction_numerical': 0.012300123001230012, 'mean_word_length': 5.2615384615384615, 'pattern_counts': {'":': 0, '<': 0, '<?xml version=': 0, '>': 0, 'https://': 0, 'lorem ipsum': 0, 'www.': 0, 'xml': 0}, 'pii_count': 0, 'substrings_counts': 0, 'word_list_counts': {'cursed_substrings.json': 0, 'profanity_word_list.json': 0, 'sexual_word_list.json': 0, 'zh_pornsignals.json': 0}}
Probe-location Optimization in a Wideband Microstrip Patch Antenna using Genetic Algorithm, Particle Swarm and Nelder-Mead Optimization Methods

A comparison among three different optimization algorithms, for seeking the best probe location in a wideband microstrip patch antenna, with the objective of bandwidth enhancement, is presented in this paper. As an illustrative example, a rectangular microstrip patch antenna is designed on a TMM-6 substrate, at a center frequency of 3.75 GHz, using the design approach proposed earlier by the present authors. The initial probe location of the design, which is shown to yield 32.66 % 2: 1 VSWR bandwidth, is further optimized using the in-built Genetic Algorithm (GA), Particle Swarm Optimization (PSO) and Nelder-Mead Simplex algorithms, that are available in FEKO.