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) by borrowing terms and ideas from biological evolution. In his 1975 ...