OLYMPIADS IN INFORMATICS, 2015, Vol. 9, pp. 193 - 203
© IOI, Vilnius University
Ant Colony Optimisation Applied to Non-Slicing Floorplanning
Mirzakhmet SYZDYKOV 1 , Madi UZBEKOV 2
Kazakh National Technical University named after K.I. Satpayev
Satpayev Str. 22a, Almaty, Kazakhstan 050013
2 Kazakh Economical University named after T.Ryskulov Zhandosov Str. 55, Almaty, Kazakhstan 050035
e-mail: firstname.lastname@example.org, email@example.com
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.
algorithm, ant system, interior, optimization, VLSI, floorplanning.
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Copyright © International Olympiads in Informatics, Vilnius University Institute of Mathematics and Informatics, 2015