Indian Journal of Science and Technology

The PDF file you selected should load here if your Web browser has a PDF reader plug-in installed (for example, a recent version of Adobe Acrobat Reader).

If you would like more information about how to print, save, and work with PDFs, Highwire Press provides a helpful Frequently Asked Questions about PDFs.

Alternatively, you can download the PDF file directly to your computer, from where it can be opened using a PDF reader. To download the PDF, click the Download link above.

Fullscreen Fullscreen Off


Objectives: This paper aims to find optimal resource schedule in Architectural level synthesis using Evolutionary Computation. Methods and Statistical Analysis: The paper is a comparative study of four Evolutionary Computations Algorithm: Differential Evolution (DE), Genetic Algorithm (GA), Evolutionary Programming (EP) and Particle Swarm Optimization (PSO). The problem area chosen is Hardware Abstraction Layer (HAL) benchmark scheduling problem using Integer Linear Programming method. Findings: The nature inspired computation algorithms should satisfy the Latency constrained Schedule, simulation results are implemented using MATLAB software. Conclusion/Application: The performance with respect to optimal resource schedule, number of generations, convergence time is compared among the four optimized algorithm are presented. The results prove Differential Evolution is better among the other optimized algorithm.

Keywords

Architectural Level Synthesis, Evolutionary Computation, Hardware Abstraction Layer, Resource Schedule.
User