Abstract: A hybrid simplex-genetic algorithm (HSGA) is presented to solve global numerical optimization problems. The HSGA combines the traditional genetic algorithm, which has a powerful global ...
Gradient variance errors in gradient-based search methods are largely mitigated using momentum, however the bias gradient errors may fail the numerical search methods in reaching the true optimum. We ...
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