Results 41 to 50 of about 10,716,551 (348)

Dynamic programming approach to principal-agent problems [PDF]

open access: yes, 2017
We consider a general formulation of the Principal-Agent problem with a lump-sum payment on a finite horizon, providing a systematic method for solving such problems.
Cvitanić, Jakša   +2 more
core   +4 more sources

Stochastic Optimization of Economic Dispatch for Microgrid Based on Approximate Dynamic Programming

open access: yesIEEE Transactions on Smart Grid, 2019
This paper proposes an approximate dynamic programming (ADP)-based approach for the economic dispatch (ED) of microgrid with distributed generations.
H. Shuai   +5 more
semanticscholar   +1 more source

EFFICIENT SCHEDULING OF DYNAMIC PROGRAMMING ALGORITHMS ON MULTICORE ARCHITECTURES [PDF]

open access: yesJournal of Engineering Science and Technology, 2017
Dynamic programming is one of the Berkley 13 dwarfs widely used for solving various combinatorial and optimization problems, including matrix chain multiplication, longest common subsequence, binary (0/1) knapsack and so on.
TAUSIF DIWAN, S. R. SATHE
doaj  

Dynamic programming for multi-view disparity/depth estimation [PDF]

open access: yes, 2006
novel algorithm for disparity/depth estimation from multi-view images is presented. A dynamic programming approach with window-based correlation and a novel cost function is proposed..
Anantrasirichai, N   +3 more
core   +2 more sources

Stochastic Lipschitz dynamic programming [PDF]

open access: yesMathematical programming, 2019
We propose a new algorithm for solving multistage stochastic mixed integer linear programming (MILP) problems with complete continuous recourse.
Shabbir Ahmed   +2 more
semanticscholar   +1 more source

A dynamic programming approach to constrained portfolios [PDF]

open access: yes, 2011
This paper studies constrained portfolio problems that may involve constraints on the probability or the expected size of a shortfall of wealth or consumption.
Kraft, Holger, Steffensen, Mogens
core   +1 more source

Deep reinforced learning enables solving rich discrete-choice life cycle models to analyze social security reforms

open access: yesSocial Sciences and Humanities Open, 2022
Discrete-choice life cycle models of labor supply can be used to estimate how social security reforms influence employment rate. In a life cycle model, optimal employment choices during the life course of an individual must be solved.
Antti J. Tanskanen
doaj   +1 more source

Using of Dynamic and Rollout Neuro - Dynamic Programming for Static and Dynamic Optimization of a Fed-batch Fermentation Process [PDF]

open access: yesBioautomation, 2005
A fed-batch fermentation process is examined in this paper for experimental and further dynamic optimization. The static optimization is developed for to be found out the optimal initial concentrations of the basic biochemical variables - biomass ...
Tatiana Ilkova
doaj  

Optimization of Energy Management Strategy for Fuel Cell Hybrid Electric Vehicles Based on Dynamic Programming

open access: yesEnergies, 2022
Fuel cell hybrid electric vehicles have attracted a large amount of attention in recent years owing to their advantages of zero emissions, high efficiency and low noise.
Changqing Du   +4 more
doaj   +1 more source

Dynamic Ic and Dynamic Programming [PDF]

open access: yesSSRN Electronic Journal, 2019
This paper develops a dynamic programming method when the one-stage deviation principle in the sense of mechanism design literature doesn’t hold. The commonly used dynamic programming method is valid only if the one-stage deviation principle in the sense of mechanism design literature is satisfied; it doesn't hold in every model, and the one-stage ...
openaire   +2 more sources

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