Application of hybrid algorithms in an optimal allocation model of water and land resources

Abstract Ensuring an optimal irrigation system and planting layout for crops in areas with water resource deficiencies is a complex process. A model of the allocation land resources ‘reservoir pumping station’ under crop rotation was established this study. For above nonlinear model, two-hybrid algorithms are proposed: (1) decomposition aggregation dynamic programming (DADP) method linear (LP) successive approximation algorithm [(DADP–LP)SA] (2) DADP based on orthogonal design (OD) (OD–DADP). The (DADP–LP)SA OD–DADP were compared real-coded genetic (RGA) particle swarm optimization (PSO) to analyze performance four algorithms. developed applied Gao'a area north Jiangsu Province, China. solution results showed that annual output value water-deficient improved, limited optimally allocated, demonstrating feasibility algorithm. Moreover, through comparative analysis optimality applicability algorithms, it can be observed more suitable optimizing scarce than RGA PSO.