Thats a unique idea.You should consider the following idea to enhance your idea so that it would impact uniquely: As a typical multi-objective optimization problem, parameter optimization of HEV por control strategy must deal with the conflict beten objectives, as fuel consumption and emissions. Classical methods define the HEV parameter optimization as a single objective problem to minimize the fuel consumption. , the multi-objective genetic algorithm (MOGA) is generalized for parameter optimization of por control strategy of series hybrid electric vehicle. Using a single unified formulation, a number of design objectives can be simultaneously optimized through searching in the parameter space. Compared with two main strategies, as Thermostatic and single-objective genetic algorithm (SOGA), the computation procedures of MOGA are discussed. Simulation results based on the model of series hybrid electric vehicle illustrate the optimization validity of MOGA.
['Bufu Huang', 'Z.M. Wang', 'Yangsheng Xu']
I am writing a research paper on a idea Multi-Objective Genetic Algorithm for Hybrid Electric Vehicle Parameter Optimization
[{"from": "human", "value": "I am writing a research paper on a idea Multi-Objective Genetic Algorithm for Hybrid Electric Vehicle Parameter Optimization"}, {"from": "gpt", "value": "Thats a unique idea.You should consider the following idea to enhance your idea so that it would impact uniquely: As a typical multi-objective optimization problem, parameter optimization of HEV por control strategy must deal with the conflict beten objectives, as fuel consumption and emissions. Classical methods define the HEV parameter optimization as a single objective problem to minimize the fuel consumption. , the multi-objective genetic algorithm (MOGA) is generalized for parameter optimization of por control strategy of series hybrid electric vehicle. Using a single unified formulation, a number of design objectives can be simultaneously optimized through searching in the parameter space. Compared with two main strategies, as Thermostatic and single-objective genetic algorithm (SOGA), the computation procedures of MOGA are discussed. Simulation results based on the model of series hybrid electric vehicle illustrate the optimization validity of MOGA."}]