Irrigation pipe distribution network optimization with Jaya Algorithm: a hybrid approach

Abstract

The study demonstrates the implementation of Jaya Algorithm (JA) to optimize the Irrigation Pipe Distribution Network (IPDN) for the networks of the Kanhan Branch of Pench project, Maharashtra, India. In the present work, two case studies with their networks of two different sizes are designed using the Critical Path Method (CPM). The pipe diameters thus obtained in CPM are optimized using two optimization techniques, viz. linear programming (LP) and recently developed Jaya Algorithm (JA). JA is a relatively new optimization technique requiring minimum input parameters and are selected based on sensitivity analysis. The comparison of the results using LP and JA exhibits significant reduction in cost of IPDN using newly developed JA. The scope of reduction in the total cost using JA increases with increase in the network area. HIGHLIGHTS Implementation of Jaya Algorithm (JA) for optimization of IPDN.; Comparison of JA with classic LP, a globally accepted optimization technique.; Input parameter selection for the JA is obtained using sensitivity analysis.; Significant cost reduction observed for the irrigation network using JA.; JA for pipe size optimization of large IPDN could significantly reduce the pipe cost, reducing the total project cost.;

Keywords

• irrigation pipe distribution networks
• jaya algorithm
• linear programming
• optimization
• sensitivity analysis