Analytical Methods to Separately Evaluate Convergence and Diversity for Multi-objective Optimization.
Takato KinoshitaNaoki MasuyamaYusuke NojimaHisao IshibuchiPublished in: MIC (2022)
Keyphrases
- multi objective optimization
- analytical methods
- multi objective evolutionary algorithms
- multi objective
- pareto dominance
- evolutionary algorithm
- practical problems
- nsga ii
- multi objective optimization problems
- pareto optimal solutions
- differential evolution
- genetic algorithm
- mathematical models
- pareto optimal set
- pareto optimal
- convergence speed
- multiple objectives
- crossover and mutation
- convergence rate
- bi objective
- experimental data
- interaction analysis
- optimization algorithm
- multi objective genetic algorithm
- multi objective genetic algorithms
- multiobjective optimization
- particle swarm optimization
- genetic programming
- complex optimization problems
- human computer interaction
- evolutionary computation
- efficient solutions
- multi criteria