en Heuristics and Metaheuristics Heuristics and Metaheuristics Only For Articles of ELECRiS 2024 Only For Articles of ELECRiS 2024 <span style="font-size:10.0pt"><span new="" roman="" style="font-family:" times="">This study introduces a pioneering method to enhance the efficiency and effectiveness of three-phase five-level reduced switch cascaded H-bridge multilevel inverters (CHB MLI) by employing the Henry Gas Solubility Optimization (HGSO) algorithm. Targeting the selective harmonic elimination (SHE) technique, the research emphasizes the optimization of switching angles to significantly reduce total harmonic distortion (THD) and align the fundamental output voltage closely with the reference voltage. Central to this exploration are three distinct objective functions (OFs), meticulously designed to assess the HGSO algorithm&rsquo;s performance across various modulation indices. Simulation results, facilitated by PSIM software, illustrate the impactful role these objective functions play in the optimization process. OF1 demonstrated a superior ability in generating low OF values and maintaining a consistent match between reference and fundamental voltages across the modulation index spectrum. Regarding the reduction of THD, it is crucial to emphasize that all OFs can identify the most effective switching angle to minimize THD and eliminate the fifth harmonic to a level below 0.1%. The findings highlight the potential of HGSO in solving complex optimization challenges within power electronics, offering a novel pathway for advancing modulation strategies in CHB MLIs and contributing to the development of more efficient, reliable, and compact power conversion systems.</span></span> Henry Gas Solubility Optimization Algorithm, Multilevel Inverter, Reduced Switch, Selected Harmonic Elimination. 124 135 http://ijeee.iust.ac.ir/browse.php?a_code=A-10-5510-1&slc_lang=en&sid=1 Murni Nabila Mohd Zawawi murninabilazawawi1996@gmail.com 1800319475328460016498 1800319475328460016498 No Department of Electrical Engineering, Faculty of Electrical Engineering & Technology, Universiti Malaysia Perlis, 02600 Arau, Perlis, Malaysia Zainuddin Mat Isa zainuddin@unimap.edu.my 1800319475328460016499 1800319475328460016499 No Centre of Excellence for Renewable Energy, Universiti Malaysia Perlis, 02600 Arau, Perlis, Malaysia. Baharuddin Ismail baha@unimap.edu.my 1800319475328460016500 1800319475328460016500 No Centre of Excellence for Renewable Energy, Universiti Malaysia Perlis, 02600 Arau, Perlis, Malaysia. Mohd Hafiz Arshad hafizarshad@unimap.edu.my 1800319475328460016501 1800319475328460016501 No Department of Electrical Engineering, Faculty of Electrical Engineering & Technology, Universiti Malaysia Perlis, 02600 Arau, Perlis, Malaysia Ernie Che Mid ernie@unimap.edu.my 1800319475328460016502 1800319475328460016502 Yes Centre of Excellence for Renewable Energy, Universiti Malaysia Perlis, 02600 Arau, Perlis, Malaysia. Md Hairul Nizam Talib hairulnizam@utem.edu.my 1800319475328460016503 1800319475328460016503 No Department Electrical Engineering, Faculty of Electrical Engineering, Universiti Teknikal Malaysia Melaka, 76100, Melaka, Malaysia Muhammad Fitra Zambak mhdfitra@umsu.ac.id 1800319475328460016504 1800319475328460016504 No Department of Electrical Engineering, Universitas Muhammadiyah Sumatera Utara, 20238 Medan, Indonesia