Assignment of collaborators to multiple business problems using genetic algorithm

Choi Keunho; Kim Gunwoo; Suh Yongmoo; Yoo Donghee

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Assignment of collaborators to multiple business problems using genetic algorithm

机译：使用遗传算法将合作者分配给多个业务问题

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摘要

As firms encounter new problems in the fast-changing business environment, they have to find collaborators with problem-solving expertise. Since this optimization problem takes place in a firm as the business environment changes, genetic algorithm (GA), which has shown outstanding performance in obtaining a sub-optimal solution relatively quickly, seems to be the right solution, one that is superior to goal-programming, multi-attribute decision making, and branch and bound. We therefore propose a GA-based approach to solving the problem of assigning collaborators to multiple business problems. Our solution worked well in several experiments.

机译：随着公司在瞬息万变的商业环境中遇到新问题，他们必须寻找具有解决问题专业知识的合作者。由于这种优化问题是在企业中随着业务环境的变化而发生的，因此遗传算法（GA）在相对较快地获得次优解决方案方面表现出卓越的性能，似乎是正确的解决方案，优于目标-编程，多属性决策以及分支和界限。因此，我们提出了一种基于GA的方法来解决将协作者分配给多个业务问题的问题。我们的解决方案在几个实验中效果很好。

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《Information systems and e-business management》 |2017年第4期|877-895|共19页
作者
Choi Keunho; Kim Gunwoo; Suh Yongmoo; Yoo Donghee;
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作者单位

Korea Workers Compensat & Welf Serv, 8 Beodeunaru Ro 2 Gil, Seoul, South Korea;

Hanbat Natl Univ, Dept Business & Accounting, 125 Dongseo Daero, Daejeon, South Korea;

Korea Univ, Sch Business, 145 Anam Ro, Seoul, South Korea;

Gyeongsang Natl Univ, Dept Management Informat Syst, BERI, 501 Jinju Daero, Jinju, South Korea;

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原文格式 PDF
正文语种 eng
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关键词
Collaborator selection; Problem solving; Genetic algorithm; Optimization;

机译：合作者选择;问题解决;遗传算法;优化;

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专利

1. FAULT-TOLERANT EXECUTION PLANNING FOR COLLABORATIVE BUSINESS PROCESSES BASED ON GENETIC ALGORITHMS [J] . Jeyeon Oh, Nam Wook Cho, Hoontae Kim, International Journal of Innovative Computing Information and Control . 2012,第7B期

机译：基于遗传算法的协同业务过程的容错执行计划
2. Cooperative Task Assignment/Path Planning of Multiple Unmanned Aerial Vehicles Using Genetic Algorithms [J] . Yeonju Eun, Hyochoong Bang Journal of Aircraft . 2009,第1期

机译：遗传算法的多无人机协同任务分配/路径规划
3. Multiple task assignments for cooperating uninhabited aerial vehicles using genetic algorithms [J] . Tal Shima, Steven J. Rasmussen, Andrew G. Sparks, Computers & operations research . 2006,第11期

机译：使用遗传算法协作无人飞行器的多个任务分配
4. Seeker allocation and target assignment of multiple hetero-seeker missile formation using genetic algorithms [C] . Xiaolong Wu, Sentang Wu, Zhihui Xing, Chinese Control and Decision Conference . 2015

机译：利用遗传算法的多异质导弹编队搜索分配与目标分配
5. Design and application of genetic algorithms for the multiple traveling salesperson assignment problem. [D] . Carter, Arthur E. 2003

机译：遗传算法的多重旅行商分配问题的设计与应用。
6. dConsensus: a tool for displaying domain assignments by multiple structure-based algorithms and for construction of a consensus assignment [O] . Kieran Alden, Stella Veretnik, Philip E Bourne 2010

机译：dConsensus：一种工具用于通过多种基于结构的算法显示域分配并用于构建共识分配
7. Multiple Task Assignment and Path Planning of a Multiple Unmanned Surface Vehicles System Based on Improved Self-Organizing Mapping and Improved Genetic Algorithm [O] . Guoqing Xia, Xianxin Sun, Xiaoming Xia 2021

机译：基于改进的自组织映射和改进的遗传算法的多无人面车辆系统多任务分配和路径规划
8. UAV Cooperative Multiple Task Assignments using Genetic Algorithms [R] . Shima, T. , Rasmussen, S. J. , Sparks, A. G. 2005

机译：基于遗传算法的无人机协同多任务分配

Assignment of collaborators to multiple business problems using genetic algorithm

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