TY - GEN
T1 - Function approximation of seawater density using genetic algorithm
AU - Baqais, Abdulrahman Ahmed Bobakr
AU - Ahmed, Moataz
AU - Sharqawy, Mostafa H.
PY - 2013
Y1 - 2013
N2 - 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.
AB - 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.
KW - Correlation
KW - Function approximation
KW - Genetic algorithm
KW - System identification
UR - https://www.scopus.com/pages/publications/84887899546
M3 - Conference contribution
AN - SCOPUS:84887899546
SN - 9789881925282
T3 - Lecture Notes in Engineering and Computer Science
SP - 820
EP - 825
BT - Proceedings of the World Congress on Engineering 2013, WCE 2013
ER -