Results 11 to 20 of about 3,744,840 (204)
Versatile and declarative dynamic programming using pair algebras [PDF]
BMC Bioinformatics, 2005 Background Dynamic programming is a widely used programming technique in bioinformatics. In sharp contrast to the simplicity of textbook examples, implementing a dynamic programming algorithm for a novel and non-trivial application is a tedious and error
Giegerich Robert, Steffen Peter
doaj +2 more sources
Dynamic environments can speed up evolution with genetic programming [PDF]
, 2011 We present a study of dynamic environments with genetic programming to ascertain if a dynamic environment can speed up evolution when compared to an equivalent static environment.
Miguel Nicolau +6 more
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Empirical Dynamic Programming [PDF]
Mathematics of Operations Research, 2016 We propose empirical dynamic programming algorithms for Markov decision processes. In these algorithms, the exact expectation in the Bellman operator in classical value iteration is replaced by an empirical estimate to get “empirical value iteration” (EVI).
William B. Haskell 0001 +2 more
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Resilient Dynamic Programming [PDF]
Algorithmica, 2015 zbMATH Open Web Interface contents unavailable due to conflicting licenses.
CAMINITI, SAVERIO +3 more
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Dynamic Policy Programming [PDF]
J. Mach. Learn. Res., 2010 Submitted to Journal of Machine Learning ...
Gheshlaghi Azar, M. +2 more
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Optimal low-thrust trajectories to asteroids through an algorithm based on differential dynamic programming [PDF]
, 2009 In this paper an optimisation algorithm based on Differential Dynamic Programming is applied to the design of rendezvous and fly-by trajectories to near Earth objects. Differential dynamic programming is a successive approximation technique that computes
Colombo, Camilla +2 more
core +4 more sources
Linear programming and dynamics [PDF]
Ural mathematical journal, 2015 Summary: In a Hilbert space we consider the linear boundary value problem of optimal control based on the linear dynamics and the terminal linear programming problem at the right end of the time interval. There is provided a saddle-point method to solve it. Convergence of the method is proved.
Antipin, A. S., Khoroshilova, E. V.
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Using stochastic dynamic programming to support weed management decisions over a rotation [PDF]
, 2009 This study describes a model that predicts the impact of weed management on the population dynamics of arable weeds over a rotation and presents the economic consequences.
Parsons, D. J. +7 more
core +1 more source
A NONLINEAR PROGRAMMING METHOD FOR DYNAMIC PROGRAMMING [PDF]
Macroeconomic Dynamics, 2016 A nonlinear programming formulation is introduced to solve infinite-horizon dynamic programming problems. This extends the linear approach to dynamic programming by using ideas from approximation theory to approximate value functions. Our numerical results show that this nonlinear programming is efficient and accurate, and avoids inefficient ...
Cai, Yongyang +4 more
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Stochastic Integer Programming by Dynamic Programming [PDF]
Statistica Neerlandica, 1985 AbstractStochastic integer programming is a suitable tool for modeling hierarchical decision situations with combinatorial features. In continuation of our work on the design and analysis of heuristics for such problems, we now try to find optimal solutions.
B.J. Lageweg +4 more
openaire +6 more sources