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논문검색

A genetic algorithm approach for a constrained employee scheduling problem as applied to employees at mall type shops

초록

영어

In this application of artificial intelligence to a real-world problem, the constrained scheduling of
employee resourcing for a mall type shop is solved by means of a genetic algorithm. hromosomes encode a one-week schedule and a constraint matrix handles all requirements for the population. The genetic operators are purposely designed to preserve all constraints and the objective function assures an imposed coverage, this is for people on both sections of the mall. The results demonstrate that the genetic algorithm approach can provide acceptable solutions to this type of employee scheduling problem with constrains.

목차

Abstract
 1. Introduction
 2. Problem formulation
 3. Problem solution
  3.1. Chromosome encoding
  3.2. Objective function
  3.3. Constraint setting
  3.4. Initial population
  3.5. Mutation operator
  3.6. Cross-over operator
  3.7. Elitism
  3.8. Other genetic algorithm settings
 4. Results
 5. Conclusion
 References

저자정보

  • Adrian Brezulianu Faculty of Electronics, Telecommunications and Information Technology, Technical University of Iasi
  • Monica Fira Institute of Computer Science, Romanian Academy, Iasi Branch
  • Lucian Fira Faculty of Electronics, Telecommunications and Information Technology, Technical University of Iasi

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