Moreover, nonlinear optimization can be computationally expensive in terms of time and memory, so care must be taken when matching an algorithm to a problem. the function value (optimization criterion ...

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 ...