Xin Qi^1,2, Xingtao Shi¹, Yingwen Liu^1,*

Frontiers in Heat and Mass Transfer, Vol.22, No.6, pp. 1661-1678, 2024, DOI:10.32604/fhmt.2024.058959 - 19 December 2024

Abstract After optimizing the compressor design, condenser tube diameter, and tube row arrangement, air supply volumetric flow rate, and refrigerant charge of the domestic dehumidifier. The optimized design schemes were obtained from the original combinations by non-dominated sorting, and the optimized design schemes were experimentally verified under three environmental conditions according to the test method of T/CAS 342-2020 to obtain a complete idea of dehumidifier multi-component improvement. The results show that the dehumidifying capacity of Scheme 5 is slightly increased by 2.5% at 27°C/60% RH, and its energy factor is significantly increased by 24.6%. When the… More >

Qianqian Zhang¹, Yingmei Li^1,*, Jianjun Zhan^2,*, Shan Chen¹

CMC-Computers, Materials & Continua, Vol.81, No.1, pp. 1251-1273, 2024, DOI:10.32604/cmc.2024.053892 - 15 October 2024

Abstract This research focuses on improving the Harris’ Hawks Optimization algorithm (HHO) by tackling several of its shortcomings, including insufficient population diversity, an imbalance in exploration vs. exploitation, and a lack of thorough exploitation depth. To tackle these shortcomings, it proposes enhancements from three distinct perspectives: an initialization technique for populations grounded in opposition-based learning, a strategy for updating escape energy factors to improve the equilibrium between exploitation and exploration, and a comprehensive exploitation approach that utilizes variable neighborhood search along with mutation operators. The effectiveness of the Improved Harris Hawks Optimization algorithm (IHHO) is assessed by… More >