GA (Simple Genetic Algorithm) - A Robust Intelligent Multivariable Optimization Algorithm
GA (Simple Genetic Algorithm) is a powerful intelligent multivariable optimization algorithm that mimics population reproduction dynamics for optimization. This SGA implementation supports variable optimization for both minimization and maximization problems (converted to minimization via function reciprocal), featuring floating-point encoding, Gray encoding, and binary encoding; selection methods include roulette wheel selection and tournament selection; crossover operations support single-point, uniform, and arithmetic crossover; mutation operations include single-point and floating-point mutation.