Natural Computation for Optimal Scheduling with ILP Modeling in High Level Synthesis

The concept of the natural computation for optimal scheduling in high level synthesis, for resource constraint and time constraint scheduling problem in automated integrated circuit synthesis using Integer Linear Programming (ILP) modeling is presented in this paper. This paper compares three natural computations paradigms: (i) evolution optimizer technique genetic algorithm, (ii) evolutionary programming, and (iii) swarm intelligence based particle swarm optimization. Experimental results indicate that evolution based Genetic Algorithm search is more powerful search compared to Evolutionary Programming and Particle Swam Optimization.