کد مقاله کد نشریه سال انتشار مقاله انگلیسی نسخه تمام متن
476383 699463 2006 12 صفحه PDF دانلود رایگان
عنوان انگلیسی مقاله ISI
Total allowable catch for managing squat lobster fishery using stochastic nonlinear programming
موضوعات مرتبط
مهندسی و علوم پایه مهندسی کامپیوتر علوم کامپیوتر (عمومی)
پیش نمایش صفحه اول مقاله
Total allowable catch for managing squat lobster fishery using stochastic nonlinear programming
چکیده انگلیسی

The authors’ work on lobster fishery in Chile is summarized in this paper. The paper presents the formulation and algorithmic resolution of a two-stage stochastic nonlinear programming model with recourse. The proposed model considers a long-term planning horizon and specifically allows an optimal total allowable catch quota to be obtained for the first planning period. This model takes into account biomass dynamics, the conditions guaranteeing sustained species management and uncertain parameters such as growth rate and species carrying capacity. These parameters are explicitly incorporated via a discrete random variable (scenarios). The proposed model is solved by Lagrangian decomposition using the algebraic modeling software AMPL, in combination with the solver MINOS to solve the nonlinear models resulting from the scenario decomposition. The article also presents the results obtained with this methodology and the conclusions drawn from the work.

ناشر
Database: Elsevier - ScienceDirect (ساینس دایرکت)
Journal: Computers & Operations Research - Volume 33, Issue 8, August 2006, Pages 2113–2124
نویسندگان
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