Digital filter design
Following the path of evolvable hardware
Communications of the ACM
Seeding Genetic Programming Populations
Proceedings of the European Conference on Genetic Programming
Digital Filter Design Using Multiple Pareto Fronts
EH '01 Proceedings of the The 3rd NASA/DoD Workshop on Evolvable Hardware
Evolutionary programming made faster
IEEE Transactions on Evolutionary Computation
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Evolutionary methods are nowb eginning to be used routinely in design applications. However, even with computing speeds growing continuously, for many complex design problems evolutionary computing times are so long that their use is not practical. Divide and conquer based methods sometimes improve the situation, but in most cases the biggest speed improvement can be gained by adding domain knowledge. Combining evolutionary methods with conventional design methods is one way of doing this. This paper shows how evolutionary computation can be used to improve designs created by conventional design methods. A digital filter design problem is used to illustrate howa conventionally derived design can be further improved by evolutionary calibration. Our experimental results showthat the evolutionary calibration algorithm is able to consistently improve the original designs by a considerable margin.