• GRI-Mech 3.0

  • Referenced in 62 articles [sw07056]
  • Mech 3.0 is an optimized mechanism designed to model natural gas combustion, including NO formation ... continuing updating evolution of the mechanism. The optimization process is designed to provide sound basic ... kinetics which also furnish the best combined modeling predictability of basic combustion properties. Improvements were...
  • DEoptim

  • Referenced in 41 articles [sw08656]
  • differential evolution algorithm for the global optimization of a real-valued function of a real ... valued parameter vector. The implementation of differential evolution in DEoptim interfaces with C code ... case studies in fitting a Parratt model for X-ray reflectometry data and a Markov...
  • CMA-ES

  • Referenced in 102 articles [sw05063]
  • linear or non-convex continuous optimization problems. They belong to the class of evolutionary algorithms ... broadly based on the principle of biological evolution, namely the repeated interplay of variation ... better f-values are generated. In an evolution strategy, new candidate solutions are sampled according ... matrix amounts to learning a second order model of the underlying objective function similar...
  • PIKAIA

  • Referenced in 11 articles [sw04744]
  • observational data set. We have used this modeling tool in the context of white dwarf ... made possible by genetic-algorithm-based numerical optimization led us to a number of interesting ... hitherto puzzling discrepancy between stellar evolution models and prior asteroseismic inferences of the surface helium...
  • FOMCON

  • Referenced in 16 articles [sw12184]
  • this paper, we present a flexible optimization tool suitable for fractional-order PID controller design ... design. The fractional PID is a natural evolution of the conventional PID controller ... enhanced accuracy of the fractional-order models. The presented tool, which is a part ... fractional-order calculus oriented toolbox, - uses numerical optimization methods to carry out the tuning...
  • Evolino

  • Referenced in 17 articles [sw36450]
  • Evolino: hybrid neuroevolution / optimal linear search for sequence learning. Current Neural Network learning algorithms ... limited in their ability to model non-linear dynamical systems. Most supervised gradient-based recurrent ... sequence learning, EVOlution of recurrent systems with LINear outputs (Evolino). Evolino uses evolution to discover ... linear regression or quadratic programming to compute optimal linear mappings from hidden state to output...
  • PyBioNetFit

  • Referenced in 3 articles [sw34668]
  • models specified using the BioNetGen rule-based modeling language (BNGL) or the Systems Biology Markup ... differential evolution, particle swarm optimization, scatter search) for parameter optimization. In addition to model parameterization...
  • Neurofitter

  • Referenced in 12 articles [sw09289]
  • power allows scientists to automate this tuning. Optimization algorithms need two essential components. The first ... difference between the output of the model with a given set of parameters ... annealing, genetic algorithms, evolution strategies, differential evolution and particle-swarm optimization. Last, we shortly describe...
  • nuXmv

  • Referenced in 21 articles [sw18526]
  • systems. nuXmv is the evolution of the nuXmv open source model checker. It builds ... based model checking techniques. Besides extended functionalities, nuXmv has been optimized in terms of performance...
  • EASEA

  • Referenced in 13 articles [sw07058]
  • Specification of Evolutionary Algorithms) is an Artificial Evolution platform that allows scientists with only basic ... many-core architectures in order to optimize virtually any real-world problems (continous, discrete, combinatorial ... have internet access) through an embedded island model...
  • Pi4U

  • Referenced in 7 articles [sw18320]
  • complex and computationally demanding physical models, that can exploit massively parallel computer architectures. The framework ... optimization tasks associated with the asymptotic approximations are treated via the Covariance Matrix Adaptation Evolution ... framework accommodates scheduling of multiple physical model evaluations based on an adaptive load balancing library...
  • CVXPortfolio

  • Referenced in 3 articles [sw26998]
  • Trading via Convex Optimization. The simulator is able to simulate the evolution of a portfolio ... costs. The package includes simple but reasonable models of transaction cost based on asset ... implementing trading strategies using the convex optimization package CVXPY. The package relies on Pandas...
  • dgpf

  • Referenced in 3 articles [sw04801]
  • Combining genetic programming and model-driven development Genetic programming (GP) is known to provide good ... solutions for many problems like the evolution of network protocols and distributed algorithms. In most ... design framework assisting the engineer in optimizing specific aspects in system development. In this article ... model-driven software development process. Our GP framework produces XMI-encoded UML models that...
  • Fake Game

  • Referenced in 1 article [sw23756]
  • uses natural evolution to evolve Data Mining models. It incorporates several preprocessing, optimization and visualization...
  • ClusPath

  • Referenced in 1 article [sw29979]
  • ClusPath, a novel algorithm for detecting general evolution tendencies in a population of entities ... socio-economical model (in a political dataset) or the companies fiscal optimization (in an economical ... features. Such high-level regularities in the evolution of entities are detected by combining spatial ... techniques. The relations between the evolution phases are modeled using a graph structure, inferred simultaneously...
  • GATC

  • Referenced in 1 article [sw29603]
  • construction under the duplication-transfer-loss model of evolution. Background: Several methods have been developed ... gene tree with branch length. GATC returns optimal solutions according to a measure combining both ... sequence evolution) and a reconciliation score under the Duplication-Transfer-Loss (DTL) model ... also highlight the efficiency of multi-objective optimization algorithms for the gene tree reconstruction problem...
  • STAR

  • Referenced in 9 articles [sw35644]
  • because of this lack of data, their evolution is still poorly understood. Results: In this ... tandem repetitions of the motif. In our model, an Exact Tandem Repeat (ETR) comes from ... identify which sequence segments are ATR. Our optimization procedure guarantees that STAR finds a combination...
  • EPCGP

  • Referenced in 1 article [sw28338]
  • microcavity. A novel, optimized numerical method of modeling of an exciton–polariton superfluid ... modeling is challenging due to the structure of nonlinear differential equations describing their evolution ... Runge–Kutta method of 4th order, further optimized for efficient computations. The algorithms were implemented...
  • METRADE

  • Referenced in 1 article [sw28181]
  • model, we propose a multiobjective optimization algorithm to find the allowable and optimal metabolic phenotypes ... short term multi-omic (transcriptomic and metabolic) evolution, thus enabling comparative analysis of metabolic conditions ... compare, evaluate and cluster different experimental conditions, models and bacterial strains according to their metabolic...
  • SHIML

  • Referenced in 2 articles [sw10294]
  • model for fluctuating hyperfine fields, (2) set up the Blume matrix, upon which the evolution ... measure hyperfine interactions can be calculated. The optimized vector and matrix operations of the BLAS ... spectra can be derived for relevant physical models of the fluctuations. SHIML provides routines...