most citedImprovements of real coded genetic algorithms based on differential operators preventing premature convergence

132 citations · 265 across the 5 of their papers we have counts for

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cs.NE20095 cited

Back analysis of microplane model parameters using soft computing methods

A. Kucerova, M. Leps, J. Zeman

A new procedure based on layered feed-forward neural networks for the microplane material model parameters identification is proposed in the present paper. Novelties are usage of t…

cs.NE200932 cited

Novel anisotropic continuum-discrete damage model capable of representing localized failure of massive structures. Part II: identification from tests under heterogeneous stress field

A. Kucerova, D. Brancherie, A. Ibrahimbegovic +2

In Part I of this paper we have presented a simple model capable of describing the localized failure of a massive structure. In this part, we discuss the identification of the mode…

cs.NE200923 cited

A competitive comparison of different types of evolutionary algorithms

O. Hrstka, A. Kucerova, M. Leps +1

This paper presents comparison of several stochastic optimization algorithms developed by authors in their previous works for the solution of some problems arising in Civil Enginee…

cs.NE2009132 cited

Improvements of real coded genetic algorithms based on differential operators preventing premature convergence

O. Hrstka, A. Kucerova

This paper presents several types of evolutionary algorithms (EAs) used for global optimization on real domains. The interest has been focused on multimodal problems, where the dif…

cs.NE200973 cited

Optimal design and optimal control of structures undergoing finite rotations and elastic deformations

A. Ibrahimbegovic, C. Knopf-Lenoir, A. Kucerova +1

In this work we deal with the optimal design and optimal control of structures undergoing large rotations. In other words, we show how to find the corresponding initial configurati…