Evolutionary optimization (EO) is a type of genetic algorithm that can help minimize the error between computed output values and training data target output values ...

Our inclusion of skewness and kurtosis makes portfolio optimization a nonlinear, nonconvex and multi-objective problem; this has been solved with the use of a genetic algorithm. Empirical results ...

One of those scientists, John Henry Holland, pioneered a class of search and optimization techniques called genetic algorithms (GAs ... GAs and the natural evolutionary process, but they use an ...

New platform combines genetic algorithms with freeform geometry to design resilient, high-performance MEMS accelerometers ...

This article describes the formulation of a tablet for a specific purpose, primarily using fractional or full factorial designs. The formulation work generated a matrix that was processed by two ...