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Assignment of collaborators to multiple business problems using genetic algorithm

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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.

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Notes

  1. It means that we take the average of the lower bound and the upper bound of an interval when we transform the interval into a single value.

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Acknowledgments

This work was supported by the Ministry of Education of the Republic of Korea and the National Research Foundation of Korea (NRF-2015S1A5A8016415).

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Correspondence to Donghee Yoo.

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Choi, K., Kim, G., Suh, Y. et al. Assignment of collaborators to multiple business problems using genetic algorithm. Inf Syst E-Bus Manage 15, 877–895 (2017). https://doi.org/10.1007/s10257-016-0328-5

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  • DOI: https://doi.org/10.1007/s10257-016-0328-5

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