GA-Based Approach to Single Machine Scheduling with General Early Tardy Penalty Weights
基于遗传算法的单机提前/拖期调度方法研究

It is accordance with Just In Time (JIT) philosophy to penalize early/tardy jobs. A genetic algorithm based optimal method of solving single machine scheduling problem with general early tardy penalty weights is presented in the paper,which is composed of sequencing optimization and timing optimization algorithms. A new crossover operator is constructed for optimal sequencing search and an effective optimal timing algorithm proposed based on the characteristic analyses of penalty function. For different scale of scheduling problems, a lot of comparative computational experiments were done and the results manifested the method effectiveness.