However, it is often better to leave infeasible states in the domain, since they can be useful in searching for a feasible solution. In fact, one method of attacking a constrained optimization problem is to penalize infeasible states, and to an increasing degree as the run progresses...
在流体动力学,特别是稀薄气体动力学 Rarefied Gas Dynamics中,采用直接模拟蒙特卡罗方法 Direct Simulation Monte Carlo结合高效计算算法求解有限努森数 Knudsen Number流体的玻尔兹曼方程。 在自主机器人中,蒙特卡洛定位 Monte Carlo Localization可以确定机器人的位置。它通常应用于随机滤波器,如...
MonteCarloOptimization •DeterministicMethods,e.g.Newton- Rabson ()OnlyMoveTowards BetterSolutionsandTrapinBasins ofAttraction.NeedtoMovethe WrongWaySometimestoEscape BasinsofAttraction(alsoCalled Traps). •Algorithm: –Choosea –StartatProposeaMoveto –If –If Where, .0 . i x .0 itt xxx ....
Stochastic approximation for Monte Carlo optimization 来自 ResearchGate 喜欢 0 阅读量: 32 作者: PW Glynn 摘要: In In this paper, we introduce two convergent Monte Carlo algorithms for optimizing complex stochastic systems. The first algorithm, which is applicable to to regenerative processes, ...
His research focus on algorithm design for optimization problems, discrepancy theory, and high dimensional probability. He has received various recognitions for his work, including a best student paper award in SODA 2021 and a best paper a...
In this work, we present a novel algorithm that exploits notions of confidence intervals and uncertainties to enable the discovery of the best optimal within a targeted region of the parameter space. We demonstrate the efficacy of our algorithm with respect to machine learning problems and show ...
Monte Carlo temperature basin paving with effective fragment potential: an efficient and fast method for finding low-energy structures of water clusters (H... Determining low-energy structures of large water clusters is a challenge for any optimization algorithm. In this work, we have developed a ...
Multi-stage Monte Carlo optimization along with the absolute value transformations presented here show some promise in solving difficult non-linear problems. They also perform well on many linear problems and tend to streamline the solution process and give the practitioner more freedom to develop ...
Monte-Carlo optimization framework for assessing electricity generation portfolios 来自 掌桥科研 喜欢 0 阅读量: 37 作者:P Vithayasrichareon,I Macgill,F Wen 摘要: This paper proposes a stochastic approach based on Monte-Carlo Simulation (MCS) to account for various uncertainties when determining the ...
The purpose of optimization was achieved. Conclusion The rationality of replacing 3D model with 2D model instead and the feasibility of using Monte Carlo method to optimize the structure are proved, providing guidance for the future crankshaft optimization....