A Genetic Programming-Based Iterative Approach for the Integrated Process Planning and Scheduling Problem.
Xuedong ZhuXinxing GuoWeihao WangJianguo WuPublished in: IEEE Trans Autom. Sci. Eng. (2022)
Keyphrases
- genetic programming
- process planning
- scheduling problem
- computer aided
- production scheduling
- computer aided design
- single machine
- dynamic scheduling
- symbolic regression
- symbiotic evolutionary algorithm
- flowshop
- evolutionary algorithm
- np hard
- gene expression programming
- tabu search
- genetic algorithm
- grammar guided genetic programming
- job shop scheduling
- minimizing makespan
- data driven
- modeling method
- job shop scheduling problem
- database
- computational complexity
- database systems
- workflow execution
- knowledge acquisition
- mathematical model