Multi-Objective Optimization of an Irreversible Single Resonance Energy-Selective Electron Heat Engine

Based on the model of irreversible single resonance energy-selective electron heat engine established in previous literature, this paper applies finite-time thermodynamic theory and NSGA-II algorithm to perform multi-objective optimization. Single-, bi-, tri- quadru-objective optimizations are performed when energy boundary width taken as optimization variables, power output, thermal efficiency, efficient ecological function objectives. The deviation indexes different objective combinations obtained by using LINMAP, TOPSIS Shannon entropy approaches. results show that values can be reasonably selected according design requirements system. When output efficiency optimized, minimal index is approach value 0.0748, which most ideal scheme.