TSEMTA: A tripartite shared evolutionary multi-task algorithm for optimizing many-task vehicle routing problems.
Yanguang CaiYanlin WuChuncheng FangPublished in: Eng. Appl. Artif. Intell. (2024)
Keyphrases
- benchmark problems
- optimization algorithm
- objective function
- optimal solution
- np hard
- multi task
- cost function
- computational complexity
- search space
- learning algorithm
- linear programming
- similarity measure
- pairwise
- particle swarm optimization
- learning tasks
- search strategy
- search procedure
- dynamic programming
- vehicle routing problem
- decision trees