A heuristic dynamic optimization algorithm for irrigation scheduling

An irrigation scheduling problem is formulated based on a dynamic crop response model for corn and an evapotranspiration model, which considers the various water losses such as evapotranspiration, evaporation from soil surface, transpiration under different climatic conditions, in detail. A heuristi...

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Bibliographic Details
Published in:Mathematical and computer modelling 1999-10, Vol.30 (7), p.169-183
Main Authors: Naadimuthu, G., Raju, K.S., Lee, E.S.
Format: Article
Language:English
Subjects:
Applied sciences
Dynamic optimization
Dynamic programming
Exact sciences and technology
Heuristic method
Irrigation scheduling
Mathematical programming
Operational research and scientific management
Operational research. Management science
Scheduling, sequencing
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Summary:An irrigation scheduling problem is formulated based on a dynamic crop response model for corn and an evapotranspiration model, which considers the various water losses such as evapotranspiration, evaporation from soil surface, transpiration under different climatic conditions, in detail. A heuristic dynamic optimization method, which reduces the problem to a one variable problem, is developed with a pseudo profit function to resolve the ties that occur due to the missing state variables. The procedure obtained a fairly accurate approximate solution, the accuracy of which depends on the number of iterations and the step size used. Compared with the dynamic programming or other dynamic approaches, this heuristic algorithm is much more efficient.
ISSN:0895-7177
1872-9479
DOI:10.1016/S0895-7177(99)00172-7