Multi Objective Inclined Planes System Optimization Algorithm for VLSI Circuit Partitioning

In this paper multi objective optimization problem for partitioning process of VLSI circuit optimization is solved using IPO algorithm. The methodology used in this paper is based upon the dynamic of sliding motion along a frictionless inclined plane. In this work, modules and elements of the circuit are divided into two smaller parts (components) in order to minimize the cutsize and area imbalance. The algorithm is implemented to test real case study named RC6 block cipher circuit. The multi objective IPO algorithm (MOIPO) will give better results in comparison with the multi objective particle swarm optimization algorithm (MOPSO) with the same evaluation function