Estimation Using Differential Evolution for Optimal Crop Plan

  • Authors:
  • Millie Pant;Radha Thangaraj;Deepti Rani;Ajith Abraham;Dinesh Kumar Srivastava

  • Affiliations:
  • Department of Paper Technology, IIT Roorkee, India;Department of Paper Technology, IIT Roorkee, India;University of Évora, Núcleo da Mitra, 7002-054, Évora 7000 Évora, Portugal;Q2S, Norwegian University of Science and Technology, Norway;Department of Hydrology, IIT Roorkee, India

  • Venue:
  • HAIS '08 Proceedings of the 3rd international workshop on Hybrid Artificial Intelligence Systems
  • Year:
  • 2008

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Abstract

This paper presents an application of Differential Evolution (DE) to determine optimal crop plan for command area of Pamba-Achankovil-Vaippar (PAV) link project, so as to maximize the net irrigation benefit. The mathematical model of the problem is linear in nature subject to various constraints due to availability of total land area, water, fertilizers, seeds and manure, etc. Numerical results show that DE gives a better performance in comparison to the usual software tools used for solving such problems.