VQ codevector index assignment, using genetic algorithms for noisy channels
Jenq-Shyang Pan, Fergus R. McInnes, M.A. Jack · 2002
The multi-mutation rates, multi-crossover rates and a scheme of reinitialization are applied to parallel genetic algorithms for assigning the codevector indices for noisy channels for the purpose of minimizing the distortion caused by bit errors. Experimental results based on the memoryless binary symmetric channel for any bit error demonstrate the robustness of this new approach compared with the authors' previous work. The property of multiple global optima is also emphasized.