This vignette demonstrates how to use the
genetic.algo.optimizeR
package to optimize the function
f(x)=x2−4x+4 using a genetic
algorithm.
Optimize the function f(x)=x2−4x+4 to find the value of x that minimizes the function.
We start with a population of three individuals: x1=1, x2=3, and x3=0.
We evaluate the fitness of each individual by calculating f(x) for each x value:
We select individuals x1 and x2 as parents for crossover because they have higher fitness.
We perform crossover and mutation on the selected parents to generate offspring: x′1=1, x′2=3.
This vignette demonstrates the usage of the
genetic.algo.optimizeR
package to optimize the given
function using a genetic algorithm. Users can follow similar steps to
optimize other functions or customize the parameters as needed.