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Stochastic farm work scheduling algorithm based on short range weather variation part 1: development of the scheduling algorithm

机译:基于短程天气变化部分的随机农场工作调度算法1:调度算法的开发

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摘要

An algorithm for farm work scheduling named SFSW (Stochastic Farm Work Scheduling Algorithm Based on Short Range Weather Variation) was developed based on managing the risk of daily weather variation. The risk was evaluated by costs which werethen minimized in the optimization. Genetic algorithms were utilized for optimization in order to attain flexibility.The optimization was established through two steps; the first step was to decide the proper time to do jobs by minimizing the expected costs due to the effect of daily weather, and the second step was to decide the allocation of machinery by minimizingthe costs of idle time of machinery and incomplete jobs. The schedule must be updated daily in order to extend the period covered by the schedule and adjust the schedule to the most recent conditions.
机译:基于管理日常天气变化的风险,开发了一种名为SFSW的农场工作调度算法(基于短程天气变化的随机农场工作调度算法)。 通过在优化中最小化的成本来评估风险。 遗传算法用于优化以获得灵活性。通过两个步骤建立了优化; 第一步是通过最大限度地减少由于日常生活的影响,决定采用预期成本的适当时间,第二步是通过最小化机械空闲时间和不完整的工作的成本来决定机器的分配。 计划每天更新时间表,以便扩展计划所涵盖的时间,并将计划调整为最新条件。

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