Optimizing Irrigation Water Allocation and Multicrop Planning Using Discrete PSO Algorithm

Abstract

AbstractThis study presents a linear and a mixed-integer linear (MIL) model for optimizing an irrigation water allocation and a multicrop planning problem. The main objective was to maximize net benefit for all cultivated crops within irrigated areas in a reservoir-irrigation system in Iran. The linear model was optimized with linear programming (LP) method and continuous particle swarm optimization (CPSO) algorithm to make a detailed comparison between the LP method and CPSO algorithm results. The optimal solution obtained by the CPSO algorithm and LP method in the linear model were comparable. However, the optimal allocated areas for both crops and orchards in the linear model obtained by the LP method and CPSO algorithm were not directly applicable in real crop planning situations. Consequently, the MIL model was developed for which a discrete particle swarm optimization (DPSO) algorithm was used to obtain an applicable and allowable solution for the problem. Contrary to LP and CPSO, the DPSO algorithm...