Results 31 to 40 of about 876,447 (311)
Population seeding techniques for Rolling Horizon Evolution in General Video Game Playing [PDF]
, 2017 While Monte Carlo Tree Search and closely related methods have dominated General Video Game Playing, recent research has demonstrated the promise of Rolling Horizon Evolutionary Algorithms as an interesting alternative. However, there is little attention
Gaina, RD, Lucas, SM, Perez-Liebana, D
core +2 more sources
Diffusion Monte Carlo: Exponential scaling of computational cost for large systems [PDF]
, 2010 The computational cost of a Monte Carlo algorithm can only be meaningfully discussed when taking into account the magnitude of the resulting statistical error.
Norbert Nemec, S. Manten
core +1 more source
Military and demographic inter-linkages in the context of the Lithuanian sustainability
Journal of Business Economics and Management, 2020 This paper aims at investigating military and demographic inter-linkages in the context of the Lithuanian sustainability. The investigation combines three important economic aspects such as demographic, military and sustainable development.
Ieva Meidutė-Kavaliauskienė +2 more
doaj +1 more source
Interacting Multiple Try Algorithms with Different Proposal Distributions [PDF]
, 2010 We propose a new class of interacting Markov chain Monte Carlo (MCMC) algorithms designed for increasing the efficiency of a modified multiple-try Metropolis (MTM) algorithm. The extension with respect to the existing MCMC literature is twofold.
A. Jasra +31 more
core +4 more sources
Composite Monte Carlo decision making under high uncertainty of novel coronavirus epidemic using hybridized deep learning and fuzzy rule induction [PDF]
Applied Soft Computing, 2020 In the advent of the novel coronavirus epidemic since December 2019, governments and authorities have been struggling to make critical decisions under high uncertainty at their best efforts.
S. Fong +4 more
semanticscholar +1 more source
Deep-Reinforcement Learning-Based Co-Evolution in a Predator–Prey System
Entropy, 2019 Understanding or estimating the co-evolution processes is critical in ecology, but very challenging. Traditional methods are difficult to deal with the complex processes of evolution and to predict their consequences on nature.
Xueting Wang, Jun Cheng, Lei Wang
doaj +1 more source
Wrong transition and measurement models in power system state estimation
Archives of Electrical Engineering, 2016 The influence of wrong information about transition and measurement models on estimation quality has been presented in the paper. Two methods of a particle filter, with and without the Population Monte Carlo modification, and also the extended and ...
Kozierski Piotr +2 more
doaj +1 more source
Wellcome Open Research, 2020 Nonparametric coalescent-based models are often employed to infer past population dynamics over time. Several of these models, such as the skyride and skygrid models, are equipped with a block-updating Markov chain Monte Carlo sampling scheme to ...
Guy Baele +3 more
doaj +1 more source
Optimization of population annealing Monte Carlo for large-scale spin-glass simulations [PDF]
Physical Review E, 2017 Population annealing Monte Carlo is an efficient sequential algorithm for simulating k-local Boolean Hamiltonians. Because of its structure, the algorithm is inherently parallel and therefore well-suited for large-scale simulations of computationally ...
Amin Barzegar +3 more
semanticscholar +1 more source
Nuclear Engineering and Technology, 2017 The Monte Carlo criticality simulation of decoupled systems, as for instance in large reactor cores, has been a challenging issue for a long time. In particular, due to limited computer time resources, the number of neutrons simulated per generation is ...
Eric Dumonteil +4 more
doaj +1 more source