you will implement a simple genetic algorithm with fitness-proportionate selection (roulette-wheel selection), population size 100, single-point crossover rate pc = 0.7, and bitwise mutation rate pm = 0.001. Use following fitness function: f(x) = number of ones in x, where x is an individual or vector (genome) of length 20 with randomly assigned zeros and ones to start with. Perform 50 generations, and measure the generation at which the string of all ones is discovered (optimal string).
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Hi bro, I am Ahmed. I have a Master's degree in Computer Science from Europe. I can do your genetics algorithm project. I am a Machine Learning expert. Please contact me to discuss more in detail.
Hello, How are you? I am very interested in your project. I am an expert in matlab. So I can help you well. I will be very glad if you contact with me. Thanks. :)
Hi, I have already worked with genetics algorithms and implemented these in the context of traveling salesman. I would like to help you out(if needed). Thanks