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Evolutionary computation engine for floor-planning

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2 Author(s)
Yoshikawa, M. ; College of Science and Engineering, Ritsumeikan University, 1-1-1, Nojihigashi, Kusatsu, Shiga, 525-8577, Japan ; Terai, H.

This paper discusses the architecture for high speed floor-planning using sequence pair representation based on Genetic Algorithms (GA). The proposed architecture, which is called ECE (Evolutionary Computation Engine), prevents local minimum by using the GA characteristic of holding several individual populations for a population-based search and achieves high speed processing by adopting dedicated hardware. To keep general purpose, the proposed architecture is flexible for many genetic operations on GA. The proposed architecture is implemented on FPCA. Measurement results evaluating the proposed architecture are shown to achieve speeds 375 times greater than software processing.

Published in:

Electrical and Electronics Engineering, 2004. (ICEEE). 1st International Conference on

Date of Conference:

8-10 Sept. 2004