Improving the complexities of FPTAS for scheduling and routing problems

E. Levner, A. Elalouf, I. Kacem

Research output: Contribution to conferencePaperpeer-review

Abstract

We suggest a general technique for improving the complexity of fully polynomial time approximation schemes (FPTAS) for several combinatorial problems. Using the dynamic approximate binary search, we first obtain an improved FPTAS for a problem of scheduling temperature-dependent operations on a single machine. Then, we show that the suggested technique can be used for improving the worst-case complexities of earlier FPTASs for several other routing and scheduling problems.

Original languageEnglish
StatePublished - 2015
Event45th International Conference on Computers and Industrial Engineering, CIE 2015 - Metz, France
Duration: 28 Oct 201530 Oct 2015

Conference

Conference45th International Conference on Computers and Industrial Engineering, CIE 2015
Country/TerritoryFrance
CityMetz
Period28/10/1530/10/15

Keywords

  • Complexity
  • FPTAS
  • Scheduling and routing problems

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