de_crop_planning.pdf (268.59 kB)
A computational comparison of evolutionary algorithms for water resource planning for agricultural and environmental purposes
conference contribution
posted on 2023-05-23, 13:28 authored by Erin MontgomeryErin Montgomery, Fitzgerald, A, Randall, M, Lewis, AThe use of water resources for agricultural purposes, particularly in arid and semi-arid regions, is a matter of increasing concern across the world. Optimisation techniques can play an important role in improving the allocation of land to different crops, based on a utility function (such as net revenue) and the water resources needed to support these. Recent work proposed a model formulation for an agricultural region in the Murrumbidgee Irrigation Area of the Murray-Darling River basin in Australia, and found that the well-known NSGA-II technique could produce sensible crop mixes while preserving ground and surface water for environmental purposes. In the present study we apply Differential Evolution using two different solution representations, one of which explores the restricted space in which no land is left fallow. The results improve on those of the prior NSGA-II and demonstrate that a combination of solution representations allows Differential Evolution to more thoroughly explore the multiobjective space of profit versus environment.
History
Publication title
2018 IEEE Congress on Evolutionary ComputationPagination
1-8ISBN
9781509060177Department/School
School of Information and Communication TechnologyPublisher
Institute of Electrical and Electronics Engineers, Inc.Place of publication
USAEvent title
IEEE Congress on Evolutionary ComputationEvent Venue
Rio de Janeiro, BrazilDate of Event (Start Date)
2018-07-08Date of Event (End Date)
2018-07-13Rights statement
Copyright 2018 IEEERepository Status
- Open