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Applied decision-making = applicatio...
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Sanchez, Mauricio A.
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Applied decision-making = applications in computer sciences and engineering /
紀錄類型:
書目-電子資源 : Monograph/item
正題名/作者:
Applied decision-making/ edited by Mauricio A. Sanchez ... [et al.].
其他題名:
applications in computer sciences and engineering /
其他作者:
Sanchez, Mauricio A.
出版者:
Cham :Springer International Publishing : : 2019.,
面頁冊數:
viii, 215 p. :ill., digital ;24 cm.
內容註:
Evaluation of the Succession Measures of the Simultaneous Perturbation Stochastic Approximation Algorithm for the Optimization of the Process Capability Index -- An Optimization Vehicle Routing Problem approached by bio-inspired algorithms - A real case study -- Agent-based model of resistant bacterial evolution in an heterogeneous medium -- Towards intelligent systems for ubiquitous computing: tacit knowledge-inspired ubicomp -- Applied Decision Making in Design Innovation Management -- From simulation to implementation: Practical advice for policy makers who want to use computer modeling as an analysis and communication tool -- Adaptive Security based on MAPE-K: a Survey -- Interpretable Machine Learning from Granular Computing Perspective -- Nonlinear Modeling: Lessons Learned and Room for Improvement in the M&S Literature.
Contained By:
Springer eBooks
標題:
Decision making - Mathematical models. -
電子資源:
https://doi.org/10.1007/978-3-030-17985-4
ISBN:
9783030179854
Applied decision-making = applications in computer sciences and engineering /
Applied decision-making
applications in computer sciences and engineering /[electronic resource] :edited by Mauricio A. Sanchez ... [et al.]. - Cham :Springer International Publishing :2019. - viii, 215 p. :ill., digital ;24 cm. - Studies in systems, decision and control,v.2092198-4182 ;. - Studies in systems, decision and control ;v.209..
Evaluation of the Succession Measures of the Simultaneous Perturbation Stochastic Approximation Algorithm for the Optimization of the Process Capability Index -- An Optimization Vehicle Routing Problem approached by bio-inspired algorithms - A real case study -- Agent-based model of resistant bacterial evolution in an heterogeneous medium -- Towards intelligent systems for ubiquitous computing: tacit knowledge-inspired ubicomp -- Applied Decision Making in Design Innovation Management -- From simulation to implementation: Practical advice for policy makers who want to use computer modeling as an analysis and communication tool -- Adaptive Security based on MAPE-K: a Survey -- Interpretable Machine Learning from Granular Computing Perspective -- Nonlinear Modeling: Lessons Learned and Room for Improvement in the M&S Literature.
This book gathers a collection of the latest research, applications, and proposals, introducing readers to innovations and concepts from diverse environments and systems. As such, it will provide students and professionals alike with not only cutting-edge information, but also new inspirations and potential research directions. Each chapter focuses on a specific aspect of applied decision making, e.g. in complex systems, computational intelligence, security, and ubiquitous computing.
ISBN: 9783030179854
Standard No.: 10.1007/978-3-030-17985-4doiSubjects--Topical Terms:
565918
Decision making
--Mathematical models.
LC Class. No.: QA279.4 / .A675 2019
Dewey Class. No.: 003.56
Applied decision-making = applications in computer sciences and engineering /
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Evaluation of the Succession Measures of the Simultaneous Perturbation Stochastic Approximation Algorithm for the Optimization of the Process Capability Index -- An Optimization Vehicle Routing Problem approached by bio-inspired algorithms - A real case study -- Agent-based model of resistant bacterial evolution in an heterogeneous medium -- Towards intelligent systems for ubiquitous computing: tacit knowledge-inspired ubicomp -- Applied Decision Making in Design Innovation Management -- From simulation to implementation: Practical advice for policy makers who want to use computer modeling as an analysis and communication tool -- Adaptive Security based on MAPE-K: a Survey -- Interpretable Machine Learning from Granular Computing Perspective -- Nonlinear Modeling: Lessons Learned and Room for Improvement in the M&S Literature.
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