Assignment of collaborators to multiple business problems using genetic algorithm
Keunho Choi (),
Gunwoo Kim (),
Yongmoo Suh () and
Donghee Yoo ()
Additional contact information
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 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)
References: View references in EconPapers View complete reference list from CitEc
Citations: Track citations by RSS feed
Downloads: (external link)
http://link.springer.com/10.1007/s10257-016-0328-5 Abstract (text/html)
Access to the full text of the articles in this series is restricted.
This item may be available elsewhere in EconPapers: Search for items with the same title.
Export reference: BibTeX
RIS (EndNote, ProCite, RefMan)
Persistent link: https://EconPapers.repec.org/RePEc:spr:infsem:v:15:y:2017:i:4:d:10.1007_s10257-016-0328-5
Ordering information: This journal article can be ordered from
http://www.springer. ... ystems/journal/10257
Access Statistics for this article
Information Systems and e-Business Management is currently edited by Jörg Becker and Michael J. Shaw
More articles in Information Systems and e-Business Management from Springer
Bibliographic data for series maintained by Sonal Shukla ().