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 selectionProblem solvingGenetic algorithmOptimizationPARTNER SELECTIONVIRTUAL ENTERPRISE
제목
Assignment of collaborators to multiple business problems using genetic algorithm
저자
Choi, KeunhoKim, GunwooSuh, YongmooYoo, Donghee
DOI
10.1007/s10257-016-0328-5
발행일
2017-11
유형
Article
저널명
Information Systems and e-Business Management
15
4
페이지
877 ~ 895