Using genetic algorithm in artificial intelligence

Q1:Consider the following fitness function: f(x) = x^2 + x -10 the chromosomes can be built with only four gene for the following initial population: X1=1, X2=2, X3-0, X4-3, determines the next population that results after two iteration of Genetic algorithm. Assume that:1-Roulette wheel selection. 2-one point crossover with Pe=0.8 3- Mutation with Pm = 0.02 and the mutation point is in gene 3. If you need random numbers, choose in order from the following: 0.410,0.070,0.90,0.01,0.07,0.314,0.404,0.11.0.04,0.05. Q1:Consider the following fitness function: f(x) = x^2 + x -10 the chromosomes can be built with only four gene for the following initial population: X1=1, X2=2, X3-0, X4-3, determines the next population that results after two iteration of Genetic algorithm. Assume that:1-Roulette wheel selection. 2-one point crossover with Pe=0.8 3- Mutation with Pm = 0.02 and the mutation point is in gene 3. If you need random numbers, choose in order from the following: 0.410,0.070,0.90,0.01,0.07,0.314,0.404,0.11.0.04,0.05