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Cover image for Operations Research Proceedings 2011 Selected Papers of the International Conference on Operations Research (OR 2011), August 30 - September 2, 2011, Zurich, Switzerland

25.

Operations Research Proceedings 2011 Selected Papers of the International Conference on Operations Research (OR 2011), August 30 - September 2, 2011, Zurich, Switzerland

Klatte, Diethard.

http://dx.doi.org/10.1007/978-3-642-29210-1

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Excerpt:

, Time Tabling and Project Management -- Stream XIV: Stochastic Programming, Stochastic Modeling and

26.

Theory of multiobjective optimization

Sawaragi, Yoshikazu, 1916-

ScienceDirect http://www.sciencedirect.com/science/book/9780126203707
ScienceDirect http://www.sciencedirect.com/science/bookseries/00765392/176
ScienceDirect https://www.sciencedirect.com/science/publication?issn=00765392&volume=176

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Excerpt:

CHAPTER 7 METHODOLOGY7.1 Utility and Value Theory; 7.2 Stochastic Dominance; 7.3 Multiobjective

27.

Control and Optimization for Renewable Energy Planning and Operation Involving Uncertainty in Smart Grids

Zhang, Chaorui, author.

http://gateway.proquest.com/openurl?url_ver=Z39.88-2004&rft_val_fmt=info:ofi/fmt:kev:mtx:dissertation&res_dat=xri:pqm&rft_dat=xri:pqdiss:10904547

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-stage stochastic mixed integer nonlinear programming problem, which is hard to solve efficiently. Instead of using

28.

Energy optimization in process systems

Sieniutycz, Stanislaw.

ScienceDirect https://www.sciencedirect.com/science/book/9780080451411

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Excerpt:

for deterministic and stochastic optimization approaches based on: nonlinear programming, dynamic

29.

Introduction to dynamic programming

Cooper, Leon, 1924-

ScienceDirect https://www.sciencedirect.com/science/book/9780080250656

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Excerpt:

Dimensionality; Exercises-Chapter 7; Chapter 8. Stochastic Processes and Dynamic Programming; 8.1. Introduction

30.

Stochastic optimization models in finance

Ziemba, W. T., compiler.

ScienceDirect https://www.sciencedirect.com/science/book/9780127808505

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Excerpt:

; II. Convexity and the Kuhn-Tucker Conditions; III. Dynamic Programming; SECTION1: EXPECTED UTILITY

31.

Dynamic programming and its application to optimal control

Boudarel, R. (René)

ScienceDirect https://www.sciencedirect.com/science/book/9780121189501
ScienceDirect https://www.sciencedirect.com/science/bookseries/00765392/81
ScienceDirect https://www.sciencedirect.com/science/publication?issn=00765392&volume=81

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control of a stochastic process -- pt. IV. Continuous processes. Continuous deterministic processes

32.

Optimizing methods in statistics proceedings.

Symposium on Optimizing Methods in Statistics (1971 : Ohio State University)

ScienceDirect http://www.sciencedirect.com/science/book/9780126045505

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Excerpt:

; 4. Stochastic Approximation; 5. Minimax Theorem for Vector Payoffs; 7. Hâjek-Renyi-Chow Inequality

33.

Optimizing a System of Electric Vehicle Charging Stations

Chawal, Ukesh, author.

http://gateway.proquest.com/openurl?url_ver=Z39.88-2004&rft_val_fmt=info:ofi/fmt:kev:mtx:dissertation&res_dat=xri:pqm&rft_dat=xri:pqdiss:10903218

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knowledge, this is the only two-stage stochastic problem which uses infinite horizon dynamic programming

34.

Multicriteria decision aid and artificial intelligence links, theory and applications

Doumpos, Michael.

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Excerpt:

Multiobjective Programming 10.3 Interactive Multiobjective Linear Programming 10.4 Fuzzy Multiobjective Linear

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