Suchergebnisse - "Approximate Stochastic Dynamic Programming"

Two simplex-based approximate stochastic dynamic programming schemes for a real hydropower management problem von Zephyr, Luckny, Lamond, Bernard F., Demeester, Kenjy, Latraverse, Marco

“… We present an approximate stochastic dynamic programming methodology for a real-world hydropower management problem, in which water must be released from reservoirs to produce electricity to power …”
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Approximate stochastic dynamic programming for hydroelectric production planning von Zéphyr, Luckny, Lang, Pascal, Lamond, Bernard F., Côté, Pascal

“… •A novel approximate stochastic dynamic programming approach is presented.•The state space is partitioned into simplices …”
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Hybrid simplicial-randomized approximate stochastic dynamic programming for multireservoir optimization von Zephyr, Luckny, Lamond, Bernard F., Lang, Pascal

“… We revisit an approximate stochastic dynamic programming method that we proposed earlier for the optimization of multireservoir problems …”
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Approximate stochastic dynamic programming for sensor scheduling to track multiple targets von Li, Y., Krakow, L.W., Chong, E.K.P., Groom, K.N.

“… The problem of sensor scheduling is to select the number and combination of sensors to activate over time. The goal is usually to trade off tracking …”
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An approximate dynamic programming approach for multi-stage stochastic lot-sizing under a Decision–Hazard–Decision information structure von Spitzer, Victor, Gicquel, Céline, Gurevsky, Evgeny, Sanson, François

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Randomized Simplicial Approximate Stochastic Dynamic Programming for Mid-term Reservoir Optimization von Zephyr, Luckny, Lamond, Bernard F.

“… Midterm reservoir management problems are often cast as stochastic dynamic programs, due to their sequential nature. Because of the well known dimensionality …”
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Learning the optimal joint operation of the energy systems of Uruguay, Brazil, Paraguay and Argentina von Chaer, Ruben, Ramirez, Ignacio, Camacho, Vanina, Caporale, Ximena, Casaravilla, Gonzalo

“… In the continuous fight against Bellman's Curse of Dimensionality, this work presents the first steps towards learning the Optimal Operation Policy of the …”
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Machine Learning Applied to the Operation of Fully Renewable Energy Systems von Chaer, Ruben, Ramirez, Ignacio, Casaravilla, Gonzalo

“… This work presents a novel learning algorithm for the operation policy of power systems trying to minimize the cost of fulfilling the energy demand. The …”
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Approximate stochastic dynamic programming for opportunistic fair scheduling in wireless networks von Zhi Zhang, Moola, S., Chong, E.K.P.

“… We consider the problem of temporal fair scheduling of queued data transmission in wireless networks. Taking fairness constraints and the memory property of …”
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Maximizing Cloud Revenue using Dynamic Pricing of Multiple Class Virtual Machines von Alzhouri, Fadi, Agarwal, Anjali, Liu, Yan

“… The Infrastructure as a Service (IaaS) cloud industry that relies on leasing virtual machines (VMs) has significant portion of business values of finding the …”
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The use of simple calibrations of individual locations in making transshipment decisions in a multi-location inventory network von Archibald, T W, Black, D P, Glazebrook, K D

“… We deploy an approximate stochastic dynamic programming approach to develop a class of interpretable and implementable heuristics for making transshipment decisions …”
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Optimal crude oil procurement under fluctuating price in an oil refinery von Chen, Ruoran, Deng, Tianhu, Huang, Simin, Qin, Ruwen

“… •We introduce an approximate stochastic dynamic programming method.•Numerical results reveal that this complex oil procurement problem can be approximately solved with little loss of optimality …”
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A Hybrid Model of Stochastic Dynamic Programming and Genetic Algorithm for Multistage Portfolio Optimization with GlueVaR Risk Measurement von Maryam Ghandehari, Adel Azar, Ahmad Reza Yazdanian, Gholamhossein Golarzi

“… : In this regard, the Multistage Approximate Stochastic Dynamic Programming has been used to make the best portfolio over each period by using a stochastic return rate …”
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Diseño y Gestión de Políticas Públicas Para La Red de Salud Pública Chilena von Vacarezza, José Tomás Marquinez

“… In order to do so, this thesis presents an approach built around the use of approximate stochastic dynamic programming to determine whether it is convenient or not to do proactive transfers and diversions …”
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Application de méthodes de programmation dynamique stochastique au problème de planification de la production d'hydroélectricité von Faik, Mouad

“… The hydro-power generation planning is a complex problem implicating different fields of applied mathematics. Optimal or almost-optimal decisions are taken …”
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A heuristic stochastic dynamic programming method for discrete particle swarm optimizer system von Qi Kang, Jing An, Lei Wang, Qidi Wu

“… ; and an approximate stochastic dynamic programming algorithm- heuristic stochastic dynamic programming (HSDP …”
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