Results 31 to 40 of about 67,878 (263)
Optimization and Improvement of Gas Spring Design in An Energy Storing Prosthetic Knee
In this research, an optimization and improvement of gas spring design is discussed. The gas spring is used as a suspension component of an energy storing prosthetic knee. The gas spring replaces the quadricep muscles of transfemoral amputee.
Cucuk Nur Rosyidi +2 more
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On the Convergence of Stochastic Process Convergence Proofs
Convergence of a stochastic process is an intrinsic property quite relevant for its successful practical for example for the function optimization problem.
Borja Sánchez-López, Jesus Cerquides
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Stochastic Variational Optimization
Variational Optimization forms a differentiable upper bound on an objective. We show that approaches such as Natural Evolution Strategies and Gaussian Perturbation, are special cases of Variational Optimization in which the expectations are approximated by Gaussian sampling.
Thomas Bird, Julius Kunze, David Barber
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This paper studies a version of vehicle routing problem with spatial-temporal correlated stochastic travel times in real road networks. First,a two-stage stochastic optimization model is established for this problem.
ZHANG Dong-Qing +2 more
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This study presents a novel stochastic simulation–optimization approach for optimum designing of flood control dam through incorporation of various sources of uncertainties. The optimization problem is formulated based on two objective functions, namely,
Ahmad Sharafati +2 more
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Optimization of stochastic systems [PDF]
This paper gives a short survey of Monte Carlo algorithms for stochastic optimization. Both discrete and continuous parameter stochastic optimization are discussed, with emphasis on the analysis of convergence rate. Some future research directions for the area are also indicated.
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Optimal Stochastic Enhancement of Photoionization [PDF]
The effect of noise on the nonlinear photoionization of an atom due to a femtosecond pulse is investigated in the framework of the stochastic Schrödinger equation. A modest amount of white noise results in an enhancement of the net ionization yield by several orders of magnitude, giving rise to a form of quantum stochastic resonance.
Singh, K., Rost, J.
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Chebyshev wavelet-based method for solving various stochastic optimal control problems and its application in finance [PDF]
In this paper, a computational method based on parameterizing state and control variables is presented for solving Stochastic Optimal Control (SOC) problems.
M. Yarahmadi, S. Yaghobipour
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Optimization with Stochastic Dominance Constraints [PDF]
The paper refers to a model regarding the investment of a number of capital assets in order to obtain under the random returns of assets some desirable characteristics of the total return on the investment. The model is a stochastic optimization problem involving stochastic dominance constraints.
Darinka Dentcheva, Andrzej Ruszczyński
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The optimality of (stochastic) veto delegation
We analyze the optimal delegation problem between a principal and an agent, assuming that the latter has state-independent preferences. We demonstrate that if the principal is more risk-averse than the agent toward non-status quo options, an optimal mechanism is a {\em veto mechanism}. In a veto mechanism, the principal uses veto (i.e., maintaining the
Xiaoxiao Hu, Haoran Lei
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