Genetic Algorithm Hyperparameter Optimization in Python using pymoo ngsa2
Budget: $30 – $250 USD
I have a code which uses shapely library and pymoo ngsa to generate a solution which is optimised for area and wirelength. The code is producing results which are stuck in local maxima. Need the code optimised for generating a solution close to the global maxima and reduce the execution time which could mean trying multiprocessing for the solution. There would be only 4 different tests on which this algorithm would have to be tested and results shown on.
My budget is limited to USD 100 here so any expert should be able to solve this solution in a hour or max 5 hours. Code would be provided on request. Freelancers sharing there github directory pointing to similar work would get first preference.
My budget is limited to USD 100 here so any expert should be able to solve this solution in a hour or max 5 hours. Code would be provided on request. Freelancers sharing there github directory pointing to similar work would get first preference.