Morris, Scott Wilson, 1947-
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(has links) (PDF)
Thesis (Ph. D.)--University of Adelaide, Dept. of Electrical and Electronic Engineering, 1985. / Includes bibliographical references.
Thesis (Ph. D.)--University of New South Wales, 2004. / Also available online.
Automated translation of dynamic programming problems to Java code and their solution via an intermediate Petri net representationMauch, Holger. January 2005 (has links)
Thesis (Ph. D.)--University of Hawaii at Manoa, 2005. / Includes bibliographical references (leaves 197-202).
Territorial defense and mate attraction in isolated and social white-breasted nuthatches (Sitta carolinensis): tests of stochastic dynamic programming models /Elliott, Jennifer T., January 2005 (has links)
Thesis (Ph. D.)--Ohio State University, 2005. / Title from first page of PDF file. Document formatted into pages; contains xxi, 200 p.; also includes graphics. Includes bibliographical references (p. 194-200). Available online via OhioLINK's ETD Center.
Thesis (M.S.)--State University of New York at Binghamton, Thomas J. Watson School of Engineering and Applied Science, Department of Computer Science, 2009. / Includes bibliographical references.
Computational methods for the optimization of sampled-data distributed-parameter systems by use of dynamic programingEwing, Donald James, January 1970 (has links)
Thesis (Ph. D.)--University of Wisconsin--Madison, 1970. / Typescript. Vita. eContent provider-neutral record in process. Description based on print version record. Includes bibliography.
Perakis, Georgia, Sood, Anshul
We present a dynamic optimization approach for perishable products in a competitive and dynamically changing market. We build a general optimization framework that ties together the competetive and the dynamic nature of pricing. This approach also allows differential pricing for large customers as well as demand learning for the seller. We analyze special cases of the model and illustrate the policies numerically. / Singapore-MIT Alliance (SMA)
18 August 2009
In ordert to increasing the capacity of stocking and integration in the process of optimizing the internal cost in steel industry. The cost of material profolio is usually being ignored during opmization. Experiences-based decision paten still being carried out in material profolio in this industry.Thus the Inventory and Manufacture cost are losing inadvertently. This study aims at obtaining the minimum material profolio cost so that we provide a model concerned with cost and element limitation of target product.Using dynamic programming into material-profolio decision making process. We divided material profolio into three steps, transforming the productive limitations into mathematic constrains,and implememting by software.The real-case data is given to estabilish the model database.Comparing our data with the real data,we found that with the approach, we significately reduced and the cost and variety of material profolio in different critiria
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