Adaptive Differential Evolution For Optimal Schedule In Behavioral Level Synthesis
| Autor: | Lakshmi Narayan .C, Shilpa K.C, Narayan .C |
|---|---|
| Rok vydání: | 2016 |
| Předmět: |
Mathematical optimization
Job shop scheduling Computer science Computation Hardware abstraction layer 020206 networking & telecommunications 02 engineering and technology Scheduling (computing) Global optimal Differential evolution Optimal scheduling 0202 electrical engineering electronic engineering information engineering 020201 artificial intelligence & image processing Computer Science::Operating Systems Integer programming |
| Zdroj: | IOSR Journal of VLSI and Signal Processing. :55-59 |
| ISSN: | 2319-4200 2319-4197 |
| DOI: | 10.9790/4200-0604015559 |
| Popis: | This paper presents the adaptive differential evolution for optimal scheduling in Behavioral level synthesis. The benchmark problem for the scheduling problem taken is Hardware Abstraction Layer (HAL) benchmark scheduling problem using Integer Linear Programming method. The adaptive scaling factor for mutation operation in differential evolution is implemented. The experiment results evaluate the performance parameters optimal resource schedule. The exploration and exploitation to global optimal scheduling with minimum convergence time and minimum number of computations are presented. |
| Databáze: | OpenAIRE |
| Externí odkaz: |
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