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IRRIGATION WATER DELIVERY SYSTEM OPERATION VIA AGGREGATE STATE DYNAMIC PROGRAMMING 1
Author(s) -
Houghtalen Robert J.,
Loftis Jim C.
Publication year - 1988
Publication title -
jawra journal of the american water resources association
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 0.957
H-Index - 105
eISSN - 1752-1688
pISSN - 1093-474X
DOI - 10.1111/j.1752-1688.1988.tb03002.x
Subject(s) - dynamic programming , irrigation , aggregate (composite) , computer science , curse of dimensionality , mathematical optimization , state (computer science) , economic shortage , agricultural engineering , mathematics , engineering , algorithm , artificial intelligence , ecology , linguistics , philosophy , materials science , government (linguistics) , composite material , biology
A modified dynamic programming (DP) approach that is called aggregate state dynamic programming (ASDP) is presented to optimally operate irrigation water delivery systems. ASDP can be applied to multiple reservoir systems without encountering dimensionality problems. In addition, the random nature of water supply and consumptive crop demands can be incorporated into the technique. A case study is presented to display the application of ASDP. Using a sum‐of‐squared shortages objective, ASDP out performs a traditional separation technique and approaches the theoretical (ideal) optimum. Problem settings that are conducive to the use of ASDP and limitations of the technique are presented.