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.