States based Evolutionary Algorithm
States based evolutionary algorithm
... same states in- dependently of the solutions in other ...the states of solutions. The algorithm 1 is the algorithm of State based ...
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Computational materials discovery: prediction of carbon dioxide and nitrogen-based compounds under pressure using density functional theory and evolutionary algorithm
... 30 1.3 Chemical bonding analysis in crystals When a crystalline structure is identified by CSP, a detailed chemical bonding analysis is needed to understand and rationalize its structural arrangement and electronic ...
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Computational materials discovery : prediction of carbon dioxide and nitrogen-based compounds under pressure using density functional theory and evolutionary algorithm
... 30 1.3 Chemical bonding analysis in crystals When a crystalline structure is identified by CSP, a detailed chemical bonding analysis is needed to understand and rationalize its structural arrangement and electronic ...
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Motion control of elastic joint based on kalman optimization with evolutionary algorithm
... To cite this version : Caux, Stéphane and Carrière, Sébastien and Fadel, Maurice and Sareni, Bruno Motion control of elastic joint based on kalman optimization with evolutionary algorithm. (2009) ...
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Analog Performance Prediction Based on Archimedean Copulas Generation Algorithm
... is based on the Archimedean copula generation ...Olkin’s algorithm is used to generate from a uniform distribution another uniform distri- bution to obtain a dependent couple that follows any targeted ...
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Solving Thermoacoustic Tomography with an observer-based algorithm
... [3] D. Auroux, J. Blum, and S. Marinesque, Data assimilation: variational methods and back and forth nudging algorithm; application to thermoacoustic tomography, in Proc. 11th International Conference on Math- ...
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Gaussian beam shooting algorithm based on iterative frame decomposition
... GBS algorithm, to overcome two major deficiencies of the GBS technique: firstly, the lack of accuracy of GB paraxial formulas for large propagating distances and far away from the beam axis; secondly, the fact ...
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Adaptive ESPRIT algorithm based on the PAST subspace tracker
... ESPRIT algorithm [2] overcomes the resolution limit of the Fourier analysis and provides straight estimates of the model ...ESPRIT algorithm would be very time ...
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Multiple query evaluation based on an enchanced genetic algorithm
... Turtle & Croft (1991) propose an inference network-based retrieval model which combines different document representations and various query formulations in a probabilistic framework. They demonstrate that ...
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An unbiased adaptive sampling algorithm for the exploration of RNA mutational landscapes under evolutionary pressure
... These experiments enable us estimate the strength of an evolutionary pressure which stems from an improvement of the stability of the folds. Our data indicate that for short period of evolution this “structural” ...
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Development of a genetic algorithm-based solution algorithm for 1-D convection-diffusion analyses
... genetic algorithm with uniform ...A. Evolutionary optimization techniques as versatile solvers for hard-to-converge problems in computational fluid ...
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Towards development of a hybrid discrete graph-based ant colony optimization algorithm with an antibody-based immune programming algorithm
... of Algorithm — 3.3 Ant Colony Optimization The ACO algorithm as applied to the Quadratic Assign- ment Problem in [1] was implemented and modified for the purposes outlined ...to based on pheromone ...
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ReDyAl: A Dynamic Recommendation Algorithm based on Linked Data
... the algorithm is applied to a generic dataset as ...the algorithm is cross-domain, thus it may recommend a city or a movie starting from a song, as we have already ...
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Integrity Based on MT28 for EGNOS: New Algorithm Formulation & Results
... is the 4 × 4 covariance matrix of residual position and clock errors, is a 4 dimensional vector whose the first three component are the unit vector of the line of sight oriented in the d[r] ...
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Evolutionary multi-objective optimization of colour pixels based on dielectric nano-antennas
... type methods adapted to multi-objective problems exist, S1 their fast convergence towards local extrema often limits their reliability for the determination of global maxima. A possible solution are hybrid algorithms, ...
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Modified k-mean clustering method of HMM states for initialization of Baum-Welch training algorithm
... models. Each model is composed from the concatena- tion of 2 to 4 states (Configuration #1) and of 4 to 8 states (Configuration #2). In all this experiment (con- figurations #1 and #2), a 5-state left-right ...
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Fast Langevin based algorithm for MCMC in high dimensions
... Langevin Algorithm (MALA), and it is well-established that it has an improved complexity scaling and a better convergence behaviour than the RWM algorithm in ...
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Ultra-Fast Skeleton Based on an Isotropic Fully Parallel Algorithm
... thinning algorithm, called MB, which is optimized with respect to the total number of elemen- tary Boolean operators needed to perform ...the algorithm, which is built by expressing into the Boolean ...
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DegenRev: Degeneracy-Based Full Backtranslation Algorithm for Oligopeptide
... Abstract In order to design microarray oligonucleotides, in the context of new metabolic pathways discovery, it appears that a full backtranslation of oligopeptides is a promising approach. Protein to DNA reverse ...
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Multi-scale shape optimisation of lattice structures: an evolutionary-based approach
... To cite this version : Giulia BERTOLINO, Marco MONTEMURRO, Giorgio DE PASQUALE - Multi-scale shape optimisation of lattice structures: an evolutionary-based approach - International Journal on Interactive ...
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