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Assignment of collaborators to multiple business problems using genetic algorithm

Keunho Choi (), Gunwoo Kim (), Yongmoo Suh () and Donghee Yoo ()
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Keunho Choi: Korea Workers’ Compensation and Welfare Service
Gunwoo Kim: Hanbat National University
Yongmoo Suh: Korea University
Donghee Yoo: Gyeongsang National University

Information Systems and e-Business Management, 2017, vol. 15, issue 4, No 5, 877-895

Abstract: Abstract 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.

Keywords: Collaborator selection; Problem solving; Genetic algorithm; Optimization (search for similar items in EconPapers)
Date: 2017
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