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DERIVING THE NONLINEAR RISK‐BENEFIT ALGORITHM FOR RESERVOIRS 1
Author(s) -
UanOn Thanakorn,
Helweg Otto J.
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.tb02982.x
Subject(s) - nonlinear system , mathematical optimization , nonlinear programming , water resources , sequential quadratic programming , linear programming , computer science , quadratic equation , algorithm , quadratic programming , mathematics , ecology , physics , geometry , quantum mechanics , biology
The Nonlinear Risk‐Benefit (NRB) Algorithm includes risk as one of the objectives in a multiple‐objective optimization problem. The NRB Algorithm is derived by extending the Surrogate Worth Trade‐Off method to quadratic programming. This category of problem is common in water resources planning and design, especially multipurpose reservoir systems. Consequently, an example is given using the algorithm for optimally operating a multipurpose reservoir.