A hybrid discrete teaching-learning based meta-heuristic for solving no-idle flow shop scheduling problem with total tardiness criterion.
Weishi ShaoDechang PiZhongshi ShaoPublished in: Comput. Oper. Res. (2018)
Keyphrases
- metaheuristic
- teaching learning
- total tardiness
- hybrid learning
- combinatorial optimization
- tabu search
- simulated annealing
- optimization problems
- single machine
- scheduling problem
- mip solver
- ant colony optimization
- parallel machines
- single machine scheduling problem
- particle swarm optimization
- search space
- flowshop
- genetic algorithm
- optimal solution
- evolutionary algorithm
- learning processes
- computer mediated communication
- e learning
- neuro fuzzy
- goal driven
- higher education
- cooperative learning
- setup times
- mathematical programming
- branch and bound
- constraint programming
- dynamic programming