Evolutionary algorithms are a promising approach for the automated design of artificial neural networks, but they require a compact and efficient genetic encoding scheme to repres...
A significant challenge in genetic programming is premature convergence to local optima, which often prevents evolution from solving problems. This paper introduces to genetic pro...
—The error floor of bit-interleaved coded modulation with iterative decoding (BICM-ID) can be minimized for a particular constellation by maximizing the harmonic mean of the squ...
Matthew C. Valenti, Raghu Doppalapudi, Don J. Torr...
A novel framework for mining temporal association rules by discovering itemsets with a genetic algorithm is introduced. Metaheuristics have been applied to association rule mining,...
Finding a good wavelet for a particular application and type of input data is a difficult problem. Traditional methods of wavelet deus on abstract properties of the wavelet that ca...