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GENETIC ALGORITHM

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  GENETIC ALGORITHM: Basically,the genetic algorithm is inspired by the natural process that belongs to larger scale of evolutionary algorithm. It used to generate a high quality solution for optimation and search type problem. It relying on biologically operation like mutation,cross over and selection. Generates a population of points at each iteration. The best point in the population approaches an optimal solution. EXAMPLE; Automatically solve suduko puzzle, hyperparameter optimization....etc... SYNTEX:  call the genetic algorithm function ga with the syntax  [x fval] = ga(@fitnessfun, nvars, options)   where , @fitnessfun  is a handle to the fitness function.  nvars  is the number of independent variables for the fitness function.  options  is a structure containing options for the genetic algorithm.   WRITE A FUNCTION CODE: for genetic algorithm,we wrote a function program by this formula as given below, f1x=(sin(5.1*pi*x+0.5))^6; f2y=...