An Effective Two-Stage Optimization Method Based on NSGA-II for Green Multi-objective Integrated Process Planning and Scheduling Problem.
Xiaoyu WenKanghong WangHaiqiang SunHao LiWeiwei ZhangPublished in: BIC-TA (1) (2019)
Keyphrases
- multi objective
- optimization method
- optimization algorithm
- nsga ii
- evolutionary algorithm
- differential evolution
- multi objective optimization
- scheduling problem
- process planning
- genetic algorithm
- multiobjective optimization
- particle swarm
- multi objective optimization problems
- optimization methods
- pareto optimal
- multiobjective evolutionary algorithm
- symbiotic evolutionary algorithm
- multi objective evolutionary algorithms
- multi objective problems
- particle swarm optimization
- bi objective
- pareto optimal solutions
- computer aided
- multi objective optimisation
- multiple objectives
- simulated annealing
- evolutionary multiobjective optimization
- optimization problems
- production scheduling
- pareto dominance
- tabu search
- evolutionary multiobjective
- multi objective genetic algorithm
- crossover operator
- computer aided design
- multi criteria
- particle swarm optimization pso
- evolutionary computation
- convergence speed
- metaheuristic
- test problems
- fitness function
- pareto optimal set
- knowledge acquisition
- genetic programming