Computational intelligence in emerging technologies for engineering applications. (2020)
- Record Type:
- Book
- Title:
- Computational intelligence in emerging technologies for engineering applications. (2020)
- Main Title:
- Computational intelligence in emerging technologies for engineering applications
- Further Information:
- Note: Orestes Llanes Santiago, Carlos Cruz Corona, Antônio José Silva Neto, José Luis Verdegay, editors.
- Other Names:
- Llanes Santiago, Orestes
Cruz-Corona, Carlos, 1963-
Silva Neto, Antônio José
Verdegay, José-Luis - Contents:
- Intro -- Preface -- Acknowledgments -- Contents -- Contributors -- 1 Uncertainty Analysis of a Near-Field Acoustic Levitation System -- 1.1 Introduction -- 1.2 Near-field Acoustic Levitation: Mathematical Modeling -- 1.3 Robust Optimization and Reliability-Based Design -- 1.3.1 Robust Optimization: Effective Mean Concept -- 1.3.2 Reliability-Based Design: Inverse Reliability Analysis -- 1.4 Multi-Objective Optimization Differential Evolution -- 1.5 Methodology -- 1.6 Results and Discussion -- 1.6.1 Sensitivity Analysis -- 1.6.2 Robust Design -- 1.6.3 Reliability-Based Design 1.7 Conclusions -- References -- 2 Uncertainty Quantification and Statistics of Curvesand Surfaces -- 2.1 Introduction -- 2.2 The Hilbertian Approach -- 2.2.1 Classical UQ Approach -- 2.2.2 Inverted UQ Approach -- 2.2.3 Mixed Approach -- 2.2.4 Application to the First Dynamical System -- 2.2.5 Application to the Second Dynamical System -- 2.2.6 Generation of Random Curves and Applications to Infinite Dimensional Optimization -- 2.3 The Variational Approach -- 2.3.1 Application to the First Dynamical System -- 2.3.2 Application to the Second Dynamical System -- 2.4 Using Samples 2.4.1 Transformation of Small Sets of Data in Large Samples -- 2.5 Applications to Multiobjective Optimization -- 2.6 Concluding Remarks -- References -- 3 Meta-Heuristic Approaches for Automatic Roof Measurement in Solar Panels Installations -- 3.1 Introduction -- 3.1.1 Rooftop Measurement -- 3.1.2 Building Models -- 3.2 ProposedIntro -- Preface -- Acknowledgments -- Contents -- Contributors -- 1 Uncertainty Analysis of a Near-Field Acoustic Levitation System -- 1.1 Introduction -- 1.2 Near-field Acoustic Levitation: Mathematical Modeling -- 1.3 Robust Optimization and Reliability-Based Design -- 1.3.1 Robust Optimization: Effective Mean Concept -- 1.3.2 Reliability-Based Design: Inverse Reliability Analysis -- 1.4 Multi-Objective Optimization Differential Evolution -- 1.5 Methodology -- 1.6 Results and Discussion -- 1.6.1 Sensitivity Analysis -- 1.6.2 Robust Design -- 1.6.3 Reliability-Based Design 1.7 Conclusions -- References -- 2 Uncertainty Quantification and Statistics of Curvesand Surfaces -- 2.1 Introduction -- 2.2 The Hilbertian Approach -- 2.2.1 Classical UQ Approach -- 2.2.2 Inverted UQ Approach -- 2.2.3 Mixed Approach -- 2.2.4 Application to the First Dynamical System -- 2.2.5 Application to the Second Dynamical System -- 2.2.6 Generation of Random Curves and Applications to Infinite Dimensional Optimization -- 2.3 The Variational Approach -- 2.3.1 Application to the First Dynamical System -- 2.3.2 Application to the Second Dynamical System -- 2.4 Using Samples 2.4.1 Transformation of Small Sets of Data in Large Samples -- 2.5 Applications to Multiobjective Optimization -- 2.6 Concluding Remarks -- References -- 3 Meta-Heuristic Approaches for Automatic Roof Measurement in Solar Panels Installations -- 3.1 Introduction -- 3.1.1 Rooftop Measurement -- 3.1.2 Building Models -- 3.2 Proposed Methodology for Roof Measurement -- 3.2.1 Related Works -- 3.2.2 Creation of Rooftop Models from Elevation Views -- 3.2.3 Geometric Primitive Extraction for Polygon Matching -- 3.3 Meta-heuristic Algorithms -- 3.3.1 Genetic Algorithms -- 3.3.1.1 Minimal Subsets 3.3.1.2 Objective Function -- 3.3.2 GA-Based Polygon Matching -- 3.3.3 Niching Methods -- 3.3.3.1 Sequential Location of Niches -- 3.3.3.2 Sharing (SH) -- 3.3.3.3 Crowding (CW) -- 3.4 Preliminary Results -- 3.5 Conclusions and Future works -- References -- 4 Solution of a Coupled Conduction-Radiation Inverse Heat Transfer Problem with the Topographical Global Optimization Method -- 4.1 Introduction -- 4.2 The Coupled Conduction-Radiation Heat Transfer Problem -- 4.3 Inverse Problem -- 4.3.1 Inverse Problem Formulation -- 4.3.2 Inverse Problem Solution via Topographical Global Optimization 4.3.3 Sensitivity Analysis -- 4.4 Results and Discussion -- 4.4.1 Test Cases 1-4 -- 4.4.2 Test Cases 5-7 -- 4.5 Conclusions -- References -- 5 Towards Intelligent Optimization of Design Strategies of Cyber-Physical Systems: Measuring Efficacy Through Evolutionary Computations -- 5.1 Introduction -- 5.2 Machine Learning and Evolutionary Computations in Cyber-Physical Systems Design -- 5.2.1 Emerging Evolutionary and Machine Learning Algorithms -- 5.2.2 Mathematical Analysis -- 5.2.3 CPS Design: Applications and Challenges … (more)
- Publisher Details:
- Cham : Springer
- Publication Date:
- 2020
- Extent:
- 1 online resource (301 pages)
- Subjects:
- 006.3
Computational intelligence
Computational intelligence
Electronic books
Electronic books - Languages:
- English
- ISBNs:
- 9783030344092
3030344096 - Related ISBNs:
- 9783030344085
- Notes:
- Note: Print version record.
- Access Rights:
- Legal Deposit; Only available on premises controlled by the deposit library and to one user at any one time; The Legal Deposit Libraries (Non-Print Works) Regulations (UK).
- Access Usage:
- Restricted: Printing from this resource is governed by The Legal Deposit Libraries (Non-Print Works) Regulations (UK) and UK copyright law currently in force.
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- Available online (eLD content is only available in our Reading Rooms) ↗
- Physical Locations:
- British Library HMNTS - ELD.DS.491431
- Ingest File:
- 03_053.xml