Assignment of collaborators to multiple business problems using genetic algorithm

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초록

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
DOI
10.1007/s10257-016-0328-5
발행일
2017-11
유형
Article
저널명
Information Systems and e-Business Management
권
15
호
4
페이지
877 ~ 895