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In recent decades, cold atom experiments have become increasingly complex.
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“The function was parametrized according to f ( x i → ) = 1 0.3 { 10 exp ( − 1 200 1 d ∑ j = 0 d − 1 x i j 2 ) + exp ( 1 d ∑ j = 0 d − 1 cos ( π 4 x i j ) ) − 9.7 } \scriptstyle f(\vec{x_{i}})=\frac{1}{0.3}\{10\exp\left(-\frac{1}{200}\sqrt{\frac{1}{d}\sum_{j=0}^{d-1}{{x_{i}^{j}}^{2}}}\right)+\exp\left(\frac{1}{d}\sum_{j=0}^{d-1}{\cos\left(\frac{\pi}{4}x_{i}^{j}\right)}\right)-9.7\} with d being the number of dimensions and x i x_{i} ranging from -10 to 10.”
Cited in the paper.
W. Rohringer, D. Fischer, M. Trupke, J. Schmiedmayer, and T. Schumm, Stochastic Optimization of Bose-Einstein Condensation Using a Genetic Algorithm, Stochastic Optimization - Seeing the Optimal for the Uncertain , edited by D. I. Dritsas (InTech, 2011)
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