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Dynamic scheduling for solid-state green hydrogen storage using improved NSGA-II with binary search algorithm
DOI:10.1016/j.ces.2025.122859.png)
Abstract
En 中文
• Developed a state-transition model for multiple Mg-based hydrogen storage reactors. • Implemented a binary search-based dynamic allocation method with kinetics constraints. • Developed an enhanced NSGA-II algorithm with time-segmented chromosome encoding.
Journal
IF:
4.3
Papers:
2.2W
Citations:
5.5W
Organization
No organization information available

