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Extended genetic algorithm for codesign optimization of DSP systems in FPGAs

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4 Author(s)
Savage, M.J.W. ; Dept. of Electr. & Comput. Eng., Auckland Univ., New Zealand ; Salcic, Z. ; Coghill, G. ; Covic, G.

The multiobjective genetic algorithm is an effective solution to the complex problem of hardware-software codesign. An extended genetic algorithm (EGA) has been developed that implements a novel selection method with function scaling, adaptive crossover and mutation. This EGA is applied in a codesign optimization stage for dataflow oriented applications and synthesis on field-programmable gate arrays (FPGAs). Its effectiveness is illustrated on the problem of codesign of a self-tuning regulator considering area and performance.

Published in:

Field-Programmable Technology, 2004. Proceedings. 2004 IEEE International Conference on

Date of Conference:

6-8 Dec. 2004