Genetic Algorithm

To optimize the function, which is also known as the objective function.

Any point to which the fitness function can be applied.

A genetic algorithm generates a population of points at each iteration, whereas a classical algorithm generates a single point.

<p>To select the next population in a computation.</p> Signup and view all the answers

<p>It takes many function evaluations to converge.</p> Signup and view all the answers

<p>To evaluate the quality of each individual in the population.</p> Signup and view all the answers

<p>A genetic algorithm may or may not converge to a local or global minimum, whereas a classical algorithm typically converges quickly to a local solution.</p> Signup and view all the answers

<p>A file or anonymous function.</p> Signup and view all the answers

<p>The fitness function is the same as the objective function.</p> Signup and view all the answers

<p>The population is used to generate the next generation of individuals through selection and variation.</p> Signup and view all the answers