Energy-efficient scheduling for a flexible flow shop using an improved genetic-simulated annealing algorithm
We model an energy-efficient scheduling with makespan and energy consumption. We give an improved genetic-simulated annealing algorithm to get Pareto solutions. The relationship between makespan and energy consumption is identified conflict. We examine an energy saving decision for multi-machines in a feasible scheduling.
genetic-simulated annealing algorithm makespan energy consumption energy saving flexible flow shop scheduling (ffs)