ResearchBib Share Your Research, Maximize Your Social Impacts
Sign for Notice Everyday Sign up >> Login

Ant Colony Optimisation Applied to Non-Slicing Floorplanning

Journal: Olympiads in Informatics (Vol.9, No. 1)

Publication Date:

Authors : ; ;

Page : 193-203

Keywords : algorithm; ant system; interior; optimization; VLSI; floorplanning;

Source : Downloadexternal Find it from : Google Scholarexternal

Abstract

In this article experimental results are provided for a very-large-scale integration (VLSI) floorplan design problem. Given is a set of modules to be placed non-overlapping on a 2-dimensional rectangular plane. We use ant system simulation as a heuristics to produce feasible layouts in order to minimize the total unused area. The algorithm differs from many others in that fact that it produces non-slicing floorplan. Our experimental results show comparable results of previous methods using ant colony optimization (ACO) in VLSI design. For this purpose we define the “interior” structure for a geometrical computation of module positions.

Last modified: 2016-01-18 23:02:35