Results 21 to 30 of about 2,544,042 (295)
Natural Computing, 2022 Single-objective continuous optimization can be challenging, especially when dealing with multimodal problems. This work sheds light on the effects that multi-objective optimization may have in the single-objective space. For this purpose, we examine the
Pelin Aspar +5 more
semanticscholar +1 more source
Neighborhood Search Considering Continuous Space Search
Trends in Computational and Applied Mathematics, 2002 The objective of this work is to present and discuss a dynamical optimization procedure based on the algorithm of self-consistent parametric inference, where the movement of one feasible solution to another is implemented in continuous mode. The approach
A.T. Gómez, B.E.J. BODMANN
doaj +1 more source
Parameterized models for on-line and off-line use [PDF]
, 2011 The Monadic Constraint Programming framework leverages Haskell’s rich static type system and powerful abstraction mechanisms to implement an embedded domain specific language (EDSL) for constraint programming.
A.J. Fernandez +6 more
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LLM experiments with simulation: Large Language Model Multi-Agent System for Simulation Model Parametrization in Digital Twins [PDF]
IEEE International Conference on Emerging Technologies and Factory AutomationThis paper presents a novel design of a multi-agent system framework that applies large language models (LLMs) to automate the parametrization of simulation models in digital twins.
Yuchen Xia +4 more
semanticscholar +1 more source
Solving post-Newtonian accurate Kepler Equation [PDF]
, 2017 We provide an elegant way of solving analytically the third post-Newtonian (3PN) accurate Kepler equation, associated with the 3PN-accurate generalized quasi-Keplerian parametrization for compact binaries in eccentric orbits.
Boetzel, Yannick +4 more
core +2 more sources
Non-parametric contextual stochastic search [PDF]
2016 IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS), 2016 Stochastic search algorithms are black-box optimizer of an objective function. They have recently gained a lot of attention in operations research, machine learning and policy search of robot motor skills due to their ease of use and their generality.
Abdolmaleki, A. +3 more
openaire +2 more sources
Animals, 2022 In the tropics, the conservation of tree species is closely linked to that of animals, as a large proportion of trees are zoochoric and therefore rely on the movement of animals to disperse their seeds in order to increase the chances of the survival of ...
Nikita Gavrilitchenko +4 more
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McGenus: A Monte Carlo algorithm to predict RNA secondary structures with pseudoknots [PDF]
, 2012 We present McGenus, an algorithm to predict RNA secondary structures with pseudoknots. The method is based on a classification of RNA structures according to their topological genus.
Andronescu +26 more
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Научный вестник МГТУ ГА, 2018 The application of hybrid memetic algorithm of global constrained optimization in the search optimal control of nonlinear stochastic systems problem is researched in the paper.
A. V. Panteleev, V. N. Panovskiy
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Energies, 2017 Due to growing worldwide energy demand, the search for diversification of the energy matrix stands out as an important research topic. Bioethanol represents a notable alternative of renewable and environmental-friendly energy sources extracted from ...
Hanniel Ferreira Sarmento de Freitas +2 more
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