function evaluations
Improving convergence of numerical optimizers using a limited number of function evaluations
... 20 function evaluations regardless of the chosen optimization scheme, since the function evaluation is the dominant factor in the run time of an optimization ...
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Considerations of Accuracy and Uncertainty with Kriging Surrogate Models in Single Objective Electromagnetic Design Optimization
... objective function evaluations can be achieved if the iterative optimisation search is started earlier with utility functions on kriging models of lower ...
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Embedded Proofs for Verifiable Neural Networks
... Majority of applications involve several sequences of function evaluations com- bined through control structures. Assuring the verifiability of these applications has to face the challenge that the ...
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Optimization of Threshold for Energy Based Spectrum Sensing Using Differential Evolution
... of function evaluations, the marginal increase in the throughput achieved and the easiness of localizing the best solution, we conclude that differential evolution has certain definite advantages over ...
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An inflationary differential evolution algorithm for space trajectory optimization
... Although IDEA is still better than the other algorithms, and in particular than standard DE, it is comparable to MBH up to 600000 function evaluations and achieves a moderate 30% as best result at 1.25 ...
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Efficient approximation of the incomplete gamma function for use in cloud model applications
... subsequent function evaluations or not) compared to estab- lished and more accurate methods based on series- or con- tinued fraction expansions with a variable number of terms, a big advantage over these ...
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Comparative performance of an elitist teaching-learning-based optimization algorithm for solving unconstrained optimization problems Pages 29-50 Download PDF
... identical function evolution for different algorithms considered for the ...of function evaluations to get the same best solution can be considered as better as compared to the other ...of ...
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The DIRECT Algorithm for Generic Discrete Variables Applied to Leak Detection in Water Distribution Systems.
... iteration. This makes DIRECT difficult to scale for parallel performance. The Aggressive DIRECT algorithm (Aggressive DIRECT) was introduced by Baker et al. [13] specifically to improve parallel performance. It does this ...
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Efficient inverse compensation for hysteresis via homogenized energy models
... the function is continuously differentiable, the secant method or various interpolation schemes give superlinear convergence to E in terms of function evaluations [3, ...the function change ...
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High-speed parameter estimation algorithms for nonlinear smart materials
... and function evaluations to achieve a strong local minima, we take this value as a new initial estimate for the parameters to be used in fitting the model to strain data using either a general densities or ...
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Algorithms for noisy problems in gas transmission pipeline optimization
... of function evaluations to get comparable ...final function values obtained by the three methods do not differ in a significant way if a sufficient budget is ...more function ...
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Technical note: Problem-specific variators in a genetic algorithm for the optimization of drinking water networks
... Abstract. Genetic algorithms can be a powerful tool for the automated design of optimal drinking water distri- bution networks. Fast convergence of such algorithms is a crucial factor for successful practical ...
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Modifications of the continuation method for the solution of systems of nonlinear equations
... are compared with other methods for a wide range of test problems, and are shown to significantly reduce the number of function evaluations for the difficult.. For the easier problems th[r] ...
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The simplex gradient and noisy optimization problems
... Many classes of methods for noisy optimization problems are based on function information computed on sequences of simplices. The Nelder-Mead, [18], multidirectional search, [8], [21], and implicit ltering, [12], ...
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A Genetic Search in Frequency Space for Stabilizing Atoms by High-Intensity Laser Fields
... Using a parallel platform to solve the time- dependent Schr¨odinger equation for several in- tensities at once, a GA was used to predict the optimal laser frequency to achieve atomic sta- bilization. The difficult issues ...
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New cautious BFGS algorithm based on modified Armijo type line search
... Compared with other line search methods, the computer procedure of the Armijo line search is simplest, and the computational cost to find a feasible stepsize is very low, espe- cially for > ρ > being close to . ...
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Structured Prediction via Output Space Search
... a function that maps an input x to an initial search node, A is a finite set of actions (or operators), s is the successor function that maps any search node and action to a successor search node, f is a ...
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II. MULTI OBJECTIVE PORTFOLIO PTIMIZATION PROBLEM
... objective function can include number of securities in a portfolio, turnover, amount of short selling, dividend, liquidity, excess return over of a benchmark random variable and other ...
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High Speed Model Implementation and Inversion Techniques for Smart Material Transducers
... bound on the root, and it is essential to provide external bounds. Only the square of the current appears in (5.29), and thus a negative current yields the same results as a positive one. Without loss of generality, we ...
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Regularized Bundle Methods for Convex and Non-Convex Risks
... Finally, the results of LBFGS + and LBFGS ∗ show that NRBM and LBFGS have comparable convergence speed until the stoping criteria of NRBM were reached (at least for the studied range of λ). Actually, LBFGS is slightly ...
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