Function Approximation of Seawater Density Using Genetic Algorithm
Abdul‐Rahman Ahmed, Bobakr Baqais, Moataz Ahmed, Mostafa H. Sharqawy · 2013
Abstract— Function Approximation is a popular engineering method used in system identification or equation optimization. Artificial Intelligence (AI) techniques have been used extensively to spot the best curves that match the real behavior of the system due to the wide spectrum of the search space. Genetic algorithm is well-known for its fast convergence and ability to find an optimal structure of the solution. In this paper, we propose using a genetic algorithm method as a function approximator to get a correlation for seawater density. We will use a polynomial form of the approximation. After implementing the algorithm, the results from the produced function are compared with the real data used in the algorithm.