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.

A Smart Pipe Length Splitting Method for Cost Minimization of a Pressurized Irrigation Network. A Case Study in Greece

“…Irrigation remains the cornerstone of agricultural productivity, providing essential water support to crops and sustaining food security worldwide (Carruthers et al, 1997;Samarinas & Evangelides, 2021). However, the conventional irrigation methods of water delivery, primarily reliant on open canal systems, face increasing scrutiny due to their inherent inefficiencies and environmental consequences (Gajghate & Mirajkar, 2021). Efficient irrigation water use has emerged as a critical imperative in the face of escalating water scarcity and increased environmental concerns.…”

“…In this wider context, several studies have given a lot of attention in the past focusing on the irrigation network design, discharge estimation, network optimization utilized mostly advanced computer-based methods following the general development of computer technology. Computational methods such as linear programming (Alperovits & Shamir, 1977), fuzzy linear programming (Arai et al, 2013), nonlinear programming (Theocharis et al, 2010), dynamic programming (Giménez et al, 1995) as well as the utilization of heuristic algorithms such as genetic algorithms (Cunha & Sousa, 1999;Savic & Walters, 1997;Zhao et al, 2019a), harmony search (Geem et al, 2002), Jaya method (Gajghate & Mirajkar, 2021), particle swarm optimization (Trigueros et al, 2012) are implemented with promising findings for complex irrigation systems optimization and cost minimization. Therefore, it is reasonable to conclude that the optimization of irrigation networks must be carried out using advanced optimization algorithms (Zhao et al, 2019).…”