An Optimal Objective Function for Searching Rule Curves by Genetic Algorithms Connected Simulation Model

Abstract

The main objective of this paper is to find an optimal objective function for searching the optimal rule curves by using genetic algorithms (GAs) connected a simulation technique. The results indicate that an average water shortage is the optimal objective function for searching the optimal rule curves. It can be the proper representation for all situations of water deficit and excess release water. The average water shortage was used to determine the optimal rule curves of the Bhumibol and Sirikit Reservoirs (the Chao Phraya River Basin, Thailand). The obtained rule curves searched by the GAs connected the simulation model using the average shortage as the objective function can mitigate the situation of water deficit and excess release as compared with an existing rule curves.