A chaos-coupled multi-objective scheduling decision method for liner shipping based on the NSGA-III algorithm.
Weihao MaJinfeng ZhangYueyi HanHuarong ZhengDongfang MaMingzhang ChenPublished in: Comput. Ind. Eng. (2022)
Keyphrases
- optimization algorithm
- multi objective
- improved algorithm
- detection algorithm
- cost function
- preprocessing
- experimental evaluation
- high accuracy
- computational cost
- dynamic programming
- k means
- detection method
- synthetic and real images
- segmentation algorithm
- computational complexity
- objective function
- computationally efficient
- classification method
- segmentation method
- theoretical analysis
- optimization method
- estimation algorithm
- recognition algorithm
- support vector machine svm
- clustering method
- significant improvement
- similarity measure
- energy function
- mathematical model
- classification algorithm
- convergence rate
- computational efficiency
- high efficiency
- tree structure
- particle swarm optimization
- selection algorithm
- combinatorial optimization
- evolutionary algorithm
- matching algorithm
- linear programming
- np hard
- probabilistic model
- scheduling problem
- optimization problems
- benchmark problems
- input data
- test problems
- multi objective optimization problems
- learning algorithm
- differential evolution
- decision rules
- metaheuristic
- simulated annealing
- decision making