Comparison study of SPEA2+, SPEA2, and NSGA-II in diesel engine emissions and fuel economy problem.
Tomoyuki HiroyasuSeiichi NakayamaMitsunori MikiPublished in: Congress on Evolutionary Computation (2005)
Keyphrases
- nsga ii
- multi objective
- pareto optimal
- multi objective optimization
- evolutionary algorithm
- diesel engine
- test problems
- multiobjective optimization
- multi objective evolutionary algorithms
- optimization algorithm
- optimization problems
- strength pareto evolutionary algorithm
- optimal solution
- multiobjective evolutionary algorithm
- bi objective
- genetic algorithm
- evolutionary multiobjective
- multiple objectives
- differential evolution
- multiobjective optimization problems
- multi objective optimization problems
- evolutionary multiobjective optimization
- pareto optimal solutions
- fuel injection
- high pressure
- objective function
- fuel consumption
- fitness function
- particle swarm optimization
- neural network
- pareto optimal set
- feasible solution
- knapsack problem
- solution quality