Titlebook: Individualisierung und Integration; Neue Konfliktlinien Ulrich Beck,Peter Sopp Book 1997 Springer Fachmedien Wiesbaden 1997 Beziehung.Fami

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Peter A. Bergere most reliable meta-heuristic methods recently developed is Charged System Search (CSS), that is used in here. In this chapter, supervisor agents are considered to increase the exploration ability of the CSS algorithm. This method is called supervised CSS abbreviated as SCSS.

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er- tional Association for Computational Mechanics (IACM), the European Com- nity on Computational Methods in Applied Sciences (ECCOMAS), The Chinese Society of Theoretical and Applied Mechanic, the China Civil Engineering So- ety, and the Architectural Society of China. A total of 10 invited papers

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Lutz Leiseringeic acids.- Mesoscopic simulation of DNA, chromatin modelling..This book is ideally suited to academics and researchers in organic and computational chemistry, structural molecular biology and biophysics as well as biochemistry, and particularly those interested in the molecular modelling of nucleic

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eic acids.- Mesoscopic simulation of DNA, chromatin modelling..This book is ideally suited to academics and researchers in organic and computational chemistry, structural molecular biology and biophysics as well as biochemistry, and particularly those interested in the molecular modelling of nucleic

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eic acids.- Mesoscopic simulation of DNA, chromatin modelling..This book is ideally suited to academics and researchers in organic and computational chemistry, structural molecular biology and biophysics as well as biochemistry, and particularly those interested in the molecular modelling of nucleic

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Gerd Mutzng..This book is ideally suited to academics and researchers in organic and computational chemistry, structural molecular biology and biophysics as well as biochemistry, and particularly those interested in the molecular modelling of nucleic978-90-481-7195-8978-1-4020-4851-7Series ISSN 2542-4491 Series E-ISSN 2542-4483

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es to illustrate the models and algorithms for both stochastic linear and mixed-integer programming, and showing the reader how to implement the models and algorithms 978-3-031-52464-6Series ISSN 1931-6828 Series E-ISSN 1931-6836