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 language | English |
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State | Published - 2015 |
Event | 45th International Conference on Computers and Industrial Engineering, CIE 2015 - Metz, France Duration: 28 Oct 2015 → 30 Oct 2015 |
Conference
Conference | 45th International Conference on Computers and Industrial Engineering, CIE 2015 |
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Country/Territory | France |
City | Metz |
Period | 28/10/15 → 30/10/15 |
Keywords
- Complexity
- FPTAS
- Scheduling and routing problems
All Science Journal Classification (ASJC) codes
- Safety, Risk, Reliability and Quality
- General Computer Science
- Electrical and Electronic Engineering
- Control and Systems Engineering
- Industrial and Manufacturing Engineering