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Assignment of collaborators to multiple business problems using genetic algorithm
- Choi, Keunho;
- Kim, Gunwoo;
- Suh, Yongmoo;
- Yoo, Donghee
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4초록
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.
키워드
Collaborator selection; Problem solving; Genetic algorithm; Optimization; PARTNER SELECTION; VIRTUAL ENTERPRISE
- 제목
- Assignment of collaborators to multiple business problems using genetic algorithm
- 저자
- Choi, Keunho; Kim, Gunwoo; Suh, Yongmoo; Yoo, Donghee
- 발행일
- 2017-11
- 유형
- Article
- 권
- 15
- 호
- 4
- 페이지
- 877 ~ 895