Minimizing makespan in two-stage assembly additive manufacturing: A reinforcement learning iterated greedy algorithm.
Kuo-Ching YingShih-Wei LinPublished in: Appl. Soft Comput. (2023)
Keyphrases
- greedy algorithm
- minimizing makespan
- reinforcement learning
- total flowtime
- scheduling problem
- process planning
- dynamic programming
- printed circuit boards
- permutation flowshop
- greedy algorithms
- flowshop
- objective function
- greedy strategy
- worst case
- assembly process
- set cover
- influence maximization
- greedy heuristic
- state space
- parallel machines
- knapsack problem
- single machine
- learning algorithm
- learning problems
- optimal policy
- computational complexity
- influence spread
- greedy approximation algorithm