Optimization Methods for Product and System Desig

Preface
Contents
Editor and Contributors
Part I Optimization in Engineering Design and Systems
1 Multi-objective Optimization of Ventilated Brake Disc Based on Finite Element Simulation and League Championship Algorithm
1.1 Introduction
1.2 Research Method
1.2.1 Design of Experiments
1.2.2 Simulation and Design Results
1.2.3 Extracting the Fitted Functions on the Simulation Results
1.2.4 Optimization
1.3 Analysis of the Results
1.3.1 Fitting a Function on Simulated Results
1.3.2 Multi-Optimization by Meta-Heuristic Algorithms
1.3.3 Using ELECTRE-I Multi-criteria Decision-Making Method
1.4 Conclusion and Future Research
Appendix 1
Appendix 2
References
2 Multi-response Optimization on Process Parameters of WEDM for Ti–6Al–4 V Alloy Using Grey Relational Approach
2.1 Introduction
2.2 Machining Operation
2.2.1 Surface Parameters
2.3 Response Parameters
2.3.1 Material Removal Rate (MRR)
2.3.2 Surface Roughness Parameters
2.4 GRA Optimization
2.4.1 GRA Generation
2.4.2 Grey Relational Coefficient
2.4.3 Grey Relational Grade (GRG)
2.5 Ordering in GRA
2.6 Experimentation
2.6.1 Experimentation Setup
2.6.2 Selection of Process Parameters
2.7 Design of Experiments
2.8 Response Factors and Their Measurements
2.9 Results and Discussions
2.9.1 Multi-objective Performance Characteristics
2.9.2 Grey Relational Approach
2.9.3 Signal-to-Noise (S/N) Ratio Analysis
2.10 Conclusion
References
3 Tuning of Complex Coefficient Fractional Complex Order Controllers for a Generalized System Structure—An Optimisation Approach
3.1 Introduction
3.2 Generalized Closed-Loop Schematic Representation
3.2.1 Fractional Order Controllers
3.2.2 Complex Coefficient Controllers
3.3 Tuning of Complex Coefficient FCOCs
3.4 Results and Discussions
3.5 Conclusion
References
4 A Review on Intelligent Optimization Techniques Based Fault Detection and Diagnosis in Power System Applications
4.1 Introduction
4.2 Preliminary Works
4.2.1 Fault Classification Using Power Frequency Components
4.2.2 Effect of CT Saturation on Fault Data
4.2.3 Extraction of High Frequency Components from Fault Data Through Wavelet Transformation
4.2.4 Time and Space Requirement for FD Algorithm Implementation
4.3 Methods for FDD in Power Systems
4.3.1 Model-Based Fault Diagnosis
4.3.2 Signal Based Fault Diagnosis
4.3.3 Fault Location Identification
4.3.4 Errors in Fault Location for Various Faults
4.4 Intelligent Optimization Techniques Based Fault Detection
4.5 Conclusion
References
5 Prediction of Surface Roughness Using Desirability Concept and Support Vector Machine for Fused Deposition Modeling Part
5.1 Introduction
5.2 Materials and Methods
5.3 Results and Discussion
5.4 Conclusions
References
6 An Extremum Model for the Performance Analysis of a Loop Heat Pipe Using Nano-fluids
6.1 Introduction
6.2 Experimental Setup
6.3 Experimental Procedure
6.4 Results and Discussions
6.4.1 Variation of Evaporator Temperature with Heat Input
6.4.2 Variation of Interface Temperature with Heat Input
6.4.3 Variation of Thermal Resistance with Heat Input
6.4.4 Effect of Evaporator and Condensor Temperature Difference on the Heat Input
6.4.5 Correlation
6.4.6 Extremum Model
6.5 Conclusion
References
7 Selected Multi-criteria Decision-Making Methods and Their Applications to Product and System Design
7.1 Introduction
7.2 Procedure of MCDM
7.3 Normalization and Weighting Methods
7.4 Selected MCDM Methods
7.4.1 Gray Relational Analysis
7.4.2 Simple Additive Weighting (SAW)
7.4.3 Technique for Order of Preference by Similarity to Ideal Solution
7.5 Microsoft Excel Program for MCDM
7.6 Results and Discussion
7.7 Conclusion
Appendix
References
Part II Optimization for Financial Systems
8 Cohort Intelligence Solution to Bank Asset Liability Management
8.1 Introduction
8.2 Methodology
8.2.1 Constraints & Goals
8.3 Mathematical Formulation
8.4 Results
8.5 Conclusion
References
9 Cohort Intelligence Solution to Goal Programming Problems from Financial Management Domain
9.1 Introduction
9.2 Methodology
9.3 CI Solutions to GP Problems from Financial Domains
9.3.1 Bank Financial Statement Optimization
9.3.2 Financial Structure Optimization
9.3.3 Financial and Technical Analysis of Non-Life Insurance Sector
9.4 Conclusion
References
10 Solving Asset and Liability Management Problem Using Cohort Intelligence and Goal Programming
10.1 Introduction
10.2 Methodology
10.3 Mathematical Formulation
10.3.1 Decision Variables
10.3.2 Decision Constraints and Goal Constraints
10.4 Results
10.5 Conclusion
References
Part III Optimization for Image Processing
11 Proposing a New Feature Clustering Method in Order to the Binary Classification of COVID-19 in Computed Tomography Images
11.1 Introduction
11.2 Related Works
11.3 Proposed Method
11.3.1 Images
11.3.2 Features Extraction
11.3.3 Background and Strategy of Curling Game
11.3.4 Curling Optimization Algorithm (COA)
11.3.5 Feature Selection by COA and DBSCAN
11.3.6 Binary SVM
11.4 Experimental Results
11.4.1 Classification Results on ResNet18 Features
11.4.2 Classification Results on GoogleNet Features
11.4.3 Comparing Experimental Results with Similar Works
11.4.4 Evaluation of COA Algorithm
11.5 Conclusion
References
12 Deep Learning Framework for Brain Tumor and Alzheimer Disease Prognosis Using MRI Images
12.1 Introduction
12.2 Related Work
12.3 Proposed System
12.4 Architecture
12.5 Experimental Analysis
12.5.1 Dataset
12.5.2 Experimental Setup
12.6 Results
12.7 Discussion and Future Scope
12.8 Conclusion
References
Part IV Miscellaneous
13 Genetic Algorithm to Maximize the Tourist's Satisfaction: An Assessment of Technology Adoption for a Tourist App
13.1 Introduction
13.2 Tourist Recommended System Design
13.2.1 Optimization Model
13.2.2 System Architecture
13.3 System Evaluation
13.3.1 Evaluation Model
13.3.2 Description of the Evaluation Protocol
13.3.3 The Intervention Instrument
13.4 Results and Discussion
13.5 Conclusion and Future Work
References