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Genetic and artificial bee colony algorithms for scheduling of multi-skilled manpower in combined manpower-vehicle routing problem

机译：遗传和人工蜂群算法在人力 - 车辆路径联合问题中的多技能人员调度

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Hany Seidgar; Morteza Kiani; Hamed Fazlollahtabar;
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年度 2016
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1. Genetic and artificial bee colony algorithms for scheduling of multi-skilled manpower in combined manpower-vehicle routing problem [J] . Hany Seidgar, Morteza Kiani, Hamed Fazlollahtabar Production & Manufacturing Research . 2016,第1期

机译：混合人力车路径问题中多技能人力调度的遗传和人工蜂群算法
2. Solving power transmission line routing problem using improved genetic and artificial bee colony algorithms [J] . Eroglu Hasan, Aydin Musa Electrical engineering . 2018,第3期

机译：用改进的遗传和人工蜂殖民地算法解决电力传输线路路由问题
3. A comparison of genetic algorithm and artificial bee colony approaches in solving blocking hybrid flowshop scheduling problems with sequence dependent setup/changeover times [J] . Pongpan Nakkaew, Nantachai Kantanantha, Wuthichai Wongthatsanekorn Engineering and Applied Science Research . 2016,第2期

机译：遗传算法与人工蜂群方法在解决具有顺序依赖的建立/转换时间的混合杂交流水车间调度问题中的比较
4. Combining Artificial Bee Colony and Genetic Algorithms to Enhance the GPGPU- based ANN Classifier for Identifying Students with Learning Disabilities [C] . Tung-Kuang Wu, Shian-Chang Huang, Chin-Yu Hsu, International Conference on Advanced Communications and Computation . 2015

机译：结合人造蜂殖民地和遗传算法，增强基于GPGPU的ANN分类器，用于识别学习障碍的学生
5. Optimizing Work Zone Schedules Considering Traffic Diversion with Artificial Bee Colony Algorithm [D] . Semaan, Celina. 2021

机译：考虑人造蜂菌落算法的交通转移优化工作区时间表
6. Solving Operating Room Scheduling Problem Using Artificial Bee Colony Algorithm [O] . Yang-Kuei Lin, Min-Yang Li 2021

机译：使用人工蜂菌落算法解决手术室调度问题
7. A Comparison of Artificial Bee Colony algorithm and Genetic Algorithm to Minimize the Makespan for Job Shop Scheduling [O] . A Muthiah, R Rajkumar 2014

机译：人工蜂群算法与遗传算法的最小化工期调度比较

Genetic and artificial bee colony algorithms for scheduling of multi-skilled manpower in combined manpower-vehicle routing problem

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