MOEA/D with opposition-based learning for multiobjective optimization problem.
Xiaoliang MaFang LiuYutao QiMaoguo GongMinglei YinLingling LiLicheng JiaoJianshe WuPublished in: Neurocomputing (2014)
Keyphrases
- multiobjective optimization
- opposition based learning
- multi objective
- multi objective genetic algorithm
- particle swarm optimization
- pareto optimal solutions
- nsga ii
- differential evolution
- multiobjective evolutionary algorithm
- multi objective optimization
- multi objective evolutionary algorithms
- evolutionary algorithm
- optimization algorithm
- multiple objectives
- initial population
- pareto optimal
- swarm intelligence
- genetic algorithm
- pareto dominance
- pso algorithm
- min max
- mutation operator
- estimation of distribution algorithms
- objective function
- artificial immune system
- convergence speed
- hybrid algorithm
- neural network
- optimization problems
- differential evolution algorithm
- test problems
- particle swarm optimization algorithm
- particle swarm optimization pso
- evolutionary computation
- multi criteria
- optimization method
- ant colony optimization
- bi objective
- metaheuristic
- particle swarm optimizer
- cost function
- artificial neural networks