A Comparative Study of Different Strategies using adaptive Differential Evolution for Best Scheduling in Architectural Level Synthesis

K  C  Shilpa; C  Lakshmi Narayana  and Manoj Kumar Singh

doi:10.17485/ijst/2016/v9i40/96821

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A Comparative Study of Different Strategies using adaptive Differential Evolution for Best Scheduling in Architectural Level Synthesis

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Indian Journal of Science and Technology

DOI: 10.17485/ijst/2016/v9i40/96821

Year: 2016, Volume: 9, Issue: 40, Pages: 1-4

Original Article

A Comparative Study of Different Strategies using adaptive Differential Evolution for Best Scheduling in Architectural Level Synthesis

K. C. Shilpa^{1 *}, C. Lakshmi Narayana¹ and Manoj Kumar Singh²

¹ Department of Electrical Engineering Science, BMSCE, Visvesvaraya Technological University, Bangalore - 560019, Karnataka, India; [email protected]
² Manuro Tech Research Pvt. Ltd, Bangalore - 560097, Karnataka, India
*Author for correspondence
Shilpa
Department of Electrical Engineering Science
Email:[email protected]

This work is licensed under a Creative Commons Attribution 4.0 International License.

Abstract

This paper is a comparative study for optimal scheduling in architectural level synthesis using five different strategies in Differential Evolution. In this paper the comparison is performed using Hardware Abstraction Layer (HAL) benchmark scheduling problem using Integer Linear Programming method. The paper implements adaptive scaling factor for mutation operation and variable cross over operation in differential evolution. The experiment results evaluate the performance parameters optimal resource schedule, convergence time among the five strategies are presented.
Keywords: Architectural Level Synthesis, Differential Evolution, Evolutionary Computation, Hardware Abstraction Layer, Integer Linear Programming, Very Large Scale Integration