Algoritma Genetika Untuk Penjadwalan Karyawan Ira Stationary

Kurniasari Abram, N. Achmad, Muhammad Rezky Friesta Payu, Nurwan Nurwan, D. Wungguli, Asriadi Asriadi
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Abstract

Employee scheduling is an activity plan for time sharing that contains a schedule for carrying out planned activities in the form of a table. This study aims to create an employee schedule model using a Genetic Algorithm, which is a heuristic method inspired by the process of natural selection, the strong will survive and reproduce, the stages of the Genetic Algorithm are population initialization, fitness value, selection, crossover, and mutation. The study results show an optimal model consisting of at most two shifts with a maximum of two holidays a week and not consecutively.
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配置Ira Stationary员工的基因算法
员工日程安排是用于时间共享的活动计划,它以表的形式包含执行计划活动的时间表。本研究旨在利用遗传算法建立员工调度模型,遗传算法是一种启发于自然选择过程的启发式方法,强者生存和繁殖,遗传算法的阶段为群体初始化、适应度值、选择、交叉和突变。研究结果表明,最优模型是每周最多两个班次,最多两个假期,并且不连续。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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9
审稿时长
16 weeks
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