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Robust optimization is typically based on repeated calls to a deterministic simulation program that aim at both … software which makes the computational cost one of the principal obstacles to optimization in the presence of uncertainties …, simulation parameters are divided into two sets, the deterministic optimization variables and the random uncertain parameters. A …
Persistent link: https://www.econbiz.de/10010994109
In the present paper, fundamental frequency optimization of symmetrically laminated composite plates is studied using … which has been developed on the basis of full energy methods. To improve the speed of the optimization process, the elitist … shows the good efficiency of the E-GA algorithm. A multi-objective optimization strategy for optimal stacking sequence of …
Persistent link: https://www.econbiz.de/10010896394
optimization problems, frequently occurring in science and engineering. The polynomial nonlinear problem is primarily transformed …
Persistent link: https://www.econbiz.de/10010896400
The broadband potential of overhead and underground medium-voltage/broadband over power lines (MV/BPL) systems associated with multiple-input multiple-output (MIMO) transmission technology and energy efficient (EE) or green policies is examined analytically. The contribution of this paper is...
Persistent link: https://www.econbiz.de/10010896446
Persistent link: https://www.econbiz.de/10010845822
This article uses a sequentialized experimental design to select simulation input combinations for global optimization … “efficient global optimization” (EGO) through the introduction of an improved estimator of the Kriging predictor variance; this …
Persistent link: https://www.econbiz.de/10010994014
In solving certain optimization problems, the corresponding Lagrangian dual problem is often solved simply because in …. Another interesting aspect of dual problems is that both lower and upper-level optimization problems involve only box … constraints and no other equality of inequality constraints. In this paper, we propose a coevolutionary dual optimization (CEDO …
Persistent link: https://www.econbiz.de/10010994031
In this paper we obtain a result on Hyers–Ulam stability of the linear functional equation in a single variable <InlineEquation ID="IEq1"> <EquationSource Format="TEX">$$f(\varphi (x))=g(x) \cdot f(x)$$</EquationSource> <EquationSource Format="MATHML"> <math xmlns:xlink="http://www.w3.org/1999/xlink"> <mrow> <mi>f</mi> <mo stretchy="false">(</mo> <mi mathvariant="italic">φ</mi> <mo stretchy="false">(</mo> <mi>x</mi> <mo stretchy="false">)</mo> <mo stretchy="false">)</mo> <mo>=</mo> <mi>g</mi> <mo stretchy="false">(</mo> <mi>x</mi> <mo stretchy="false">)</mo> <mo>·</mo> <mi>f</mi> <mo stretchy="false">(</mo> <mi>x</mi> <mo stretchy="false">)</mo> </mrow> </math> </EquationSource> </InlineEquation> on a complete metric group. Copyright Springer Science+Business Media New York 2014
Persistent link: https://www.econbiz.de/10010994097
describe traditional forms of Evolutionary Optimization Systems such as Genetic Algorithms, Evolutionary Strategies …, Evolutionary Programming, Particle Swarm Optimization and differential evolution (DE). Then, a relatively new evolutionary paradigm …
Persistent link: https://www.econbiz.de/10010994117
Multivariate adaptive regression splines (MARS) has become a popular data mining (DM) tool due to its flexible model building strategy for high dimensional data. Compared to well-known others, it performs better in many areas such as finance, informatics, technology and science. Many studies...
Persistent link: https://www.econbiz.de/10010994193