Multi-objective optimization for hydraulic hybrid vehicle based on adaptive simulated annealing genetic algorithm

Engineering Applications of Artificial Intelligence

Volumn 23, Issue 1, 2010, Pages 27-33

  Hui, Sun ^a  

^a Jiangsu Xuzhou Construction Machinery Research Institute   (China)

Author keywords

Genetic algorithm; Hydraulic hybrid vehicle; Hydrostatic transmission; Optimization matching; Simulated annealing

Indexed keywords

ADAPTIVE SIMULATED ANNEALING GENETIC ALGORITHM; AUTOMOBILE INDUSTRY; DESIGN PARAMETERS; ENERGY SAVING; HYDRAULIC HYBRID VEHICLES; HYDROSTATIC TRANSMISSION; KEY COMPONENT; LARGE SIZES; OBJECTIVE FUNCTIONS; OPTIMAL PARAMETER; OPTIMAL RESULTS; OPTIMIZATION MATCHING; OPTIMIZATION PROCESS; PASSENGER VEHICLES; VEHICLE PERFORMANCE; WEIGHTING FACTORS;

ADAPTIVE ALGORITHMS; ANNEALING; AUTOMOBILES; FUEL CONSUMPTION; FUEL ECONOMY; FUELS; GENETIC ALGORITHMS; HYDRAULICS; HYDRODYNAMICS; HYDROSTATIC PRESSURE; LAND VEHICLE PROPULSION; MULTIOBJECTIVE OPTIMIZATION; VEHICLES;

SIMULATED ANNEALING;

EID: 74649087099     PISSN: 09521976     EISSN: None     Source Type: Journal    
DOI: 10.1016/j.engappai.2009.09.005     Document Type: Article

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