Particle Swarm Optimization (PSO) for feature selection enhanced with a local search algorithm
$30-250 USD
Betalt ved levering
I have a project I will like for it to be implemented using python in jupyter notebook. It's a feature selection task using particle swarm optimization. Although, the particle swarm optimization involves initializing the particles using a different method in contrast to the randomize way. Also the pbest and gbest updating include some little modification which i will b glad to explain in details. Lastly, the final feature subset return will be refined using a local search algorithm called the Sequential One Point Flipping (SOPF) algorithm which goes through the final selected features sequentially and flips the state of each selected feature to see if a better accuracy can be found. (By flipping i mean unselecting a selected feature and then re-evaluate the feature subset to test if accuracy will be better than original)
Projekt ID: #30534380
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Hi, I have experience implementing PSO as well as various implementation of GA and evolution strategies for the past 5 years. I have worked on both single- and multi-objective problems so I have quite a deep knowledge Flere
6 freelancere byder i gennemsnit $170 timen for dette job
hi, we have developed more projects in MATLAB. expert in optimization and prediction. if you need any query related to this project, kindly contact through chat, thank you
Hi, I have experience with optimization and heuristics like GA and PSO, can you share more details about your project with me in the chat?
Hi. Thanks for posting. https://www.freelancer.com/u/gorbatenkoVyborG I am a mathematician who has 15+ years of experiences. My main experiences are numerical programming of ODE/PDE/Optimization(quadrativ programmi Flere
