[PDF] Top 20 Solution of the Nonlinear Least Squares problem using a new Gradient Based Genetic Algorithm

... a new Gradient Descent based Genetic Algorithm (GDGA) is proposed and used to solve benchmark Nonlinear Least Squares (NLS) ...calculated gradient to perform ... See full document

... Nonlinear least squares NLS problems are unconstrained optimization problems with special ...the solution of overde- termined systems of nonlinear equations, some scientific ... See full document

... by using maximum likelihood estimation and least squares approach ...of least squares is a standard method to approximate the solution of over determined ...systems. Least ... See full document

... (ICOPE) algorithm, which solves the linear model-based optimal control problem itera- tively, is proposed in the literature [18] ...this algorithm is to provide the optimal solution of ... See full document

... input nonlinear output error autoregressive (IN-OEAR) system, this paper studies its iterative identification ...by using the model decomposition and to present a least squares based ... See full document

... Initialisation, mutation and crossover operators allow for a particular population bias, recombination of parents and mutations specific to the problem representation. An initialisation operator ‘filled’ each gene ... See full document

... Exploring new parameter esti- mation methods is an eternal theme of system identification [5, 6] and many identification methods have been developed for linear and nonlinear systems [1, 25, 38, 40], ... See full document

... large-scale nonlinear problems. However, the BP algorithm is powerless, when in the face of singular sample data, which with high characteristic dimensional and small sample ...network algorithm ... See full document

... global solution space. A more general iOFR algorithm is proposed in this paper and it will be shown that the new iOFR algorithm is robust to some non-persistent ...ideal algorithm which ... See full document

... possible. Using the parallel processing technology become the trend in the ...serial algorithm tend to be complicated, waste of time and not easy to ...the least square parameter estimation of ... See full document

... parallel algorithm in linear problem, Deren Wang puts forward some solutions to large linear problem parallel method according to matrix splitting technology, Zhong Chen analyzed the convergence of ... See full document

... by nonlinear least squares is a difficult ...of algorithm that are often used for this purpose: those that need evaluation of derivatives and the others that do ...are based on some ... See full document

... A new Ultra Least Squares (ULS) criterion is introduced for system ...standard least squares criterion which is based on the Euclidean norm of the residuals, the new ULS ... See full document

... increase; ( , x x 1 2 , L , x p ) is the input. Then, (2) is adopted to solve ρ of the decision making unit. For a sample, we call the sample as the effective sample if ρ = 1 , namely, the effective value of the SBM ... See full document

... (MD) algorithm for the GLS estimation in FA. In the algorithm, the load- ing matrix is reparameterized as the product of a column-orthonormal matrix and a diagonal one, and the former one is updated with ... See full document

... In general, variable selection procedures can be cate- gorized [5] into two main groups: filter methods and wrapper methods. Filter methods select variables as a preprocessing step independently of some classifier or ... See full document

... The ocean environment we simulate is a Pekeris waveguide (Pekeris 1948; Jensen, et al. 1994), a model of a single water layer over an infinitely deep fluid bottom layer. Each layer is characterized by a sound speed and a ... See full document

... of Algorithm . The problem matrices A and B and its corresponding right-hand side vectors b and d are generated randomly using the MATLAB built-in com- mands rand(‘twister’) and ... See full document

... attack types include random attack, average attack, bandwagon attack, etc. [7] [8]. To reduce the influence of shilling attacks, we can perform attack detection before recommendation or enhance the inherent robustness of ... See full document

... a solution to optimal power flow problem in power systems by using Genetic Algorithm approach in ...proposed Genetic Algorithm technique was modeled to be flexible for ... See full document