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).
Bu iş için 10 freelancer ortalamada $27 teklif veriyor
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.
Dear ! i will develop Simple genetics algorithm(GA) in no time I'm ready for your Job this is owner able for me I'm work for you and complete it in professional way. Looking forward with you. Regards: Theata Solutio Daha Fazla
Dear sir. I am a c++/c/python programming expert. I have already worked for 3 years dealing with algorithm & data structure. I have an experience of attending ICPC. Especially I am very familiar with GA. I've checked Daha Fazla
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 am expert matlab user and I dedicated person and i work hared .i deliver the project on the time to clients. i am skilled proffessionaly on matlab coding, image processing,NI,lab view,ps pice and verilog.i am da Daha Fazla
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