Mutation operators based on variable grouping for multi-objective large-scale optimization.
Heiner ZilleHisao IshibuchiSanaz MostaghimYusuke NojimaPublished in: SSCI (2016)
Keyphrases
- multi objective
- mutation operator
- evolutionary algorithm
- optimization algorithm
- nsga ii
- optimization problems
- differential evolution
- multiple objectives
- multiobjective optimization
- evolutionary optimization
- multi objective optimization
- genetic algorithm
- optimization method
- crossover operator
- conflicting objectives
- optimum design
- premature convergence
- multi objective evolutionary algorithms
- evolution strategy
- objective function
- particle swarm
- particle swarm optimization
- test problems
- pareto optimal
- multi objective genetic algorithm
- decision variables
- global optimization
- simulated annealing
- evolutionary computation
- estimation of distribution algorithms
- fitness function
- multi objective optimization problems
- crossover and mutation
- crossover and mutation operators
- genetic programming
- genetic operators
- particle swarm optimization pso
- convergence rate
- image compression