Ant Colony Optimisation Applied to Non-Slicing Floorplanning
Journal: Olympiads in Informatics (Vol.9, No. 1)Publication Date: 2015-08-01
Authors : Mirzakhmet SYZDYKOV; Madi UZBEKOV;
Page : 193-203
Keywords : algorithm; ant system; interior; optimization; VLSI; floorplanning;
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.
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