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Multi-objective flowshop scheduling problems have gained wide attention both in practical and academic fields. In this paper, a hybrid multi-objective genetic algorithm is proposed to solve multi-objective no-wait flowshop scheduling problems with both the makespan and the total flow time minimization. The proposed algorithm makes use of the principle of non-dominated sorting, coupled with the use...
In the operations of the container terminals, berth scheduling problem is one of the main bottlenecks that restrict the container terminals to reduce the turnaround time of the ships and the operation costs. In this paper we described a nonlinear model for the berth scheduling problem and solved this model by the genetic algorithm GA and the hybrid optimization strategy GASA (namely the combination...
According to QoS (quality of service) of computing resources in grid, a 2-tier hybrid algorithm is proposed for independent tasks scheduling with time-cost minimization. QGMM (QoS Guided Min-Min, presented by He Xiao Shan et al., Journal of Computer Science and Technology, 2003) is adopted in the first level to obtain a schedule with optimized completion time. A GA (genetic algorithm) only with mutation...
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