Apr 10, 2014 · This paper is the first to use the nondominated sorting genetic algorithm-II (NSGA-II) for power-split plug-in hybrid electric vehicle (PHEV) applications.
This paper is the first to use the nondominated sorting genetic algorithm-II (NSGA-II) for power-split plug-in hybrid electric vehicle (PHEV) applications, ...
The NSGA-II, one of the most efficient multiobjective genetic algorithms (MOGAs), simultaneously optimized operation cost, including gasoline and electricity ...
Rule-Based Control Strategy With Novel Parameters ... - dblp
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Bibliographic details on Rule-Based Control Strategy With Novel Parameters Optimization Using NSGA-II for Power-Split PHEV Operation Cost Minimization.
Li Y., Lu X., Kar C.N.. Rule-Based Control Strategy With Novel Parameters Optimization Using NSGA-II for Power-Split PHEV Operation Cost Minimization. IEEE ...
Feb 12, 2020 · This paper combines the improved NSGA_II algorithm with the rule-based control strategy and optimizes the logic threshold value by using the ...
Rule-Based Control Strategy With Novel Parameters Optimization Using NSGA-II for Power-Split PHEV Operation Cost Minimization. IEEE Transactions on ...
Apr 15, 2020 · Li et al. proposed a rule-based control strategy for power-split PHEV in which the control parameters were optimized by the non-dominated ...
Dec 4, 2023 · Lu, and N. C. Kar, Rule-based control strategy with novel parameters optimization using NSGA-II for power-split PHEV operation cost minimization ...
This paper combines the improved NSGA_II algorithm with the rule-based control strategy and optimizes the logic threshold value by using the improved NSGA_II ...