The effect of different sampling method integrated in NSGA II optimization on performance and emission of diesel/hydrogen dual-fuel CI engine.
Hadis DerikvandMohammad Shafiey DehajHadi TaghavifarPublished in: Appl. Soft Comput. (2022)
Keyphrases
- nsga ii
- evolutionary multiobjective
- optimization problems
- multi objective
- diesel engine
- optimization algorithm
- fuel injection
- multiobjective optimization
- multi objective evolutionary algorithms
- fuel consumption
- uniform design
- evolutionary algorithm
- multi objective optimization
- pareto optimal
- multiobjective evolutionary algorithm
- test problems
- multiple objectives
- optimization model
- air fuel ratio
- multi objective genetic algorithm
- computational intelligence
- differential evolution
- multi objective differential evolution
- multi objective optimization problems
- optimum design
- multi objective optimisation
- knapsack problem
- fitness function
- test functions
- mathematical model
- high pressure
- evolutionary multiobjective optimization
- constrained multi objective optimization problems
- objective function
- bi objective
- crossover operator
- travel time
- evolutionary computation
- cost function
- optimal solution
- artificial neural networks
- genetic algorithm