Published April 28, 2006
| Version v1
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Multi-Objective Evolutionary Algorithms and Pattern Search Methods for Circuit Design Problems
Creators
- 1. STMicroeletronics, Italy
- 2. University of Catania, Italy
- 3. University of Calabria, Italy
Description
The paper concerns the design of evolutionary algorithms and pattern search methods on two circuit design problems: the multi-objective optimization of an Operational Transconductance Amplifier and of a fifth-order leapfrog filter. The experimental results obtained show that evolutionary algorithms are more robust and effective in terms of the quality of the solutions and computational effort than classical methods. In particular, the observed Pareto fronts determined by evolutionary algorithms has a better spread of solutions with a larger number of nondominated solutions when compared to the classical multi-objective techniques.
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