Flexibility of design variables to pareto-optimal solutions in multi objective optimization problems.
Tomoyuki HiroyasuShinpei ChinoMitsunori MikiPublished in: IEEE Congress on Evolutionary Computation (2007)
Keyphrases
- multi objective optimization problems
- pareto optimal solutions
- multi objective
- multi objective optimization
- nsga ii
- multi objective evolutionary algorithms
- bi objective
- pareto optimal
- evolutionary algorithm
- optimization algorithm
- multiobjective optimization
- efficient solutions
- pareto optimal set
- test problems
- multiple objectives
- genetic algorithm
- objective function
- optimal solution
- particle swarm optimization
- differential evolution
- genetic operators
- evolutionary computation
- mutation operator
- solution quality
- fitness function