دانلود کتاب Advanced Engineering Optimization Through Intelligent Techniques: Select Proceedings of AEOTIT 2022

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Conveners
Preface
Contents
About the Editors
Process Parameters Optimization by Taguchi Method and Whale Optimization Algorithm of Lathe Turning on EN24 Steel for Prediction of Surface Roughness
1 Introduction
2 Process
2.1 Identify the Control Factors and Their Levels
2.2 Conducting the Experiment
3 The Whale Optimization Algorithm
3.1 Hunting Technique of Humpback Whales
3.2 Whale Optimization Algorithm
4 Results Analysis and Discussion
4.1 Current Best Solution Obtained from Taguchi
4.2 Regression Analysis
4.3 Results and Discussion
5 Conclusion
References
Optimization of TWR and SR of Superalloy Al/9.6B4C in EDM Using Advanced Optimization Techniques
1 Introduction
2 Methodology
2.1 Response Surface Model (RSM)
3 Experimental Setup
3.1 CNC Electronic EDM Machine
4 Modeling and Optimization
4.1 Response Surface Model (RSM)
4.2 Optimization
5 Conclusions
References
Simulation and Comparative Analysis of Sardar Sarovar Reservoir by Meta-heuristic Algorithm
1 Introduction
2 Problem Formulation
3 Description of the Meta-heuristic Algorithm
3.1 Genetic Algorithm
3.2 TLBO
4 Results
5 Conclusion
References
Determination of Thickness and Refractive Index of Antireflection Coating Thin Films from Reflectivity Spectrum Using Jaya Optimization Algorithm
1 Introduction
2 Jaya Algorithm
3 Application of Jaya Algorithm for the Determination of Thickness and Refractive Index of ARC Thin Film
4 Thin Film Deposition and Spectrophotometric Reflectivity Measurement
5 Results and Interpretation
5.1 A Single Layer MgF2 Deposited on InP Substrate
5.2 A Single Layer Al2O3 Deposited on InP Substrate
5.3 A Single Layer SiO2 Deposited on InP Substrate
6 Conclusion
References
Optimization of Worm Gear Drive for Improving Efficiency Using RCGA
1 Introduction
2 Design Problem
2.1 Design Variables
2.2 Objective Function
2.3 Design Constraints
3 Results
4 Conclusions
References
Comparing a Parameterless Technique Jaya with Parameters-Based Evolutionary Algorithms
1 Introduction
2 Problem Formulation
3 Jaya Algorithm
4 Results and Discussion
4.1 Case Study I—Two-Loop Network
4.2 Case Study—II Hanoi Network
4.3 Pressure Values at Optimal Cost Obtained by Jaya
5 Conclusion
References
Optimal Sizing of PV/Wind/Battery Stand-Alone Hybrid Renewable Energy Systems Using TLBO Algorithm
1 Introduction
2 Mathematical Modeling
2.1 Wind Turbine Modeling
2.2 Modeling of a PV Module
2.3 Battery Modeling
3 Optimization Problem Formulation
3.1 Economic Modeling
3.2 Objective Function
4 Optimization Techniques
4.1 Teaching–Learning Based Optimization
5 Case Study
6 Results and Discussion
7 Conclusion
References
MOJAYA Coupled with R-method for Optimization of Machining Parameters Used in the Generation of Micro Holes on GFRP Composite Using an In-House Developed µ-ECDM System
1 Introduction
2 Materials and Method
3 Results and Discussion
3.1 Effect of Voltage on Machining Responses
3.2 Effect of Concentration on Machining Responses
3.3 Effect of Duty Factor on Machining Responses
4 Optimization Using MOJAYA Algorithm Coupled with R-method
4.1 Mathematical Modeling
4.2 MOJAYA Optimization Coupled with R-method
5 Conclusion
References
Enhanced Fruit Fly Optimization Algorithm for Node Capture Attack in WSN
1 Introduction
2 Literature Review
3 Models and Basic Terminologies
3.1 Key Assignment Modeling
3.2 Link Based Modeling
3.3 Network Modeling
3.4 Adversary View Modeling
4 Methodology for Construction of Enhanced EFOA Based upon Multiple Objective Node Capture Algorithm
5 Results
5.1 Fraction of Compromised Traffic
5.2 Energy Cost
6 Conclusion and Future Research Orientations
References
Optimization of Construction Scheduling with Rao Algorithm
1 Introduction
2 Time–Cost Mathematical Description
3 Rao-1 Algorithm
3.1 Multi-Objective Rao-1-NDSII Algorithm
4 Test Problem
5 Conclusion
References
Using Meta-Heuristic Optimization Methods in Solving Time–Cost-Quality Trade-Off Problems
1 Introduction
2 General Terms
2.1 Time Overview
2.2 Cost Overview
2.3 Quality Overview
3 Non-dominated Sorting-TLBO-II (NDS-TLBO-II)
4 Numerical Example
5 Conclusion
References
A Particle Swarm Optimization-Based Model for Quality–Safety Trade-Off Optimization Under Constraint Duration and Cost of Construction Project
1 Introduction
2 Problem Formulation
3 Proposed Methodology for QST Under Constraint Time and Cost
4 Case Study and Discussion of Results
5 Conclusion
References
Optimum Design of Pipe Network Using Rao Algorithm
1 Introduction
2 Problem Formulation
3 Rao Algorithm-Based Optimization Procedure
3.1 Generation of Initial Population
3.2 Discretization
3.3 Feasibility
3.4 Best, Worst and Random Solutions
3.5 New Population
3.6 Comparison
4 Case Study Networks
5 Results and Discussions
6 Conclusions
References
Multi-objective Thermal Exchange Optimization for Truss Structure
1 Introduction
2 The Thermal Exchange Optimization
3 Multi-objective Thermal Exchange Optimization
4 The Truss Design Problem Definition
4.1 Dynamic Penalty Function
5 Truss Design Problems and Discussions
5.1 A 942-Bar Tower Truss
5.2 Results and Discussions
6 Conclusions
References
Shape Optimization of Structures Considering Varying Geometrical and Material Parameters
1 Introduction
2 Methodology
2.1 Fuzzy Membership Function
2.2 Convergence Criteria
3 Computational Steps
4 Numerical Illustrations
4.1 Case-1: Structures with Perfect Boundaries and Single Material
4.2 Case-2: Effect of Initial Imperfection on Shape Optimization
4.3 Case-3: Beams with Flat Tops
4.4 Case-4: Composite Fixed Beams
5 Analysis of the Results
6 Conclusions
References
Multi-objective Optimization of the Concrete Mixture Blended with Mineral Admixture Using Machine Learning and NSGA-II Algorithms
1 Introduction
2 Data Set Description
3 Methodology
3.1 Random Forest Regression (RFR)
3.2 Non-Dominated Sorting Genetic Algorithm II (NSGA-II)
3.3 Performance Evaluation of ML Model
3.4 Constraints
3.5 Hyper Parameter Tuning
3.6 Multi-objective Problem Formulation
4 Results and Discussion
4.1 Results of ML Model Performance on Data Sets
4.2 Results of Tri-objective MOO NSGA-II
5 Conclusions
References
Optimum Design of Tapered Laminated Composite Sandwich Beam Using Teaching–Learning-Based Algorithm
1 Introduction
2 Mathematical Modeling of Sandwich Beam
3 Results and Discussion
3.1 Optimum Design
4 Conclusions and Future Scope
References
Optimal Weight Design of 3D Truss Tower Structure with SAP-Rao Algorithm
1 Introduction
2 Truss Optimization
3 SAP-Rao Algorithm
4 Numerical Example
5 Conclusion
References
Computation of Post-tensioning Force of Cable-Stayed Bridge with Jaya Algorithm
1 Introduction
2 Explanation of the Selected CSB
3 Finite Element Model and Loads
4 Jaya Algorithm for Computation PTF
5 Numerical Results
6 Conclusion
References
Cost and Design Optimization of a 2-Story RC Building
1 Introduction
2 Optimization Problem with Jaya Algorithm
3 ETAB-OAPI Application
4 Numerical Example
5 Conclusion
References
An Efficient QMF Bank Design Using Differential Search Algorithm
1 Introduction
2 Overview and Formulation of QMF Bank Design as an Optimization Problem
3 Differential Search Algorithm (DSA)
4 Results
5 Conclusion
References
Solution of Fuzzy Multi-objective Traveling Salesman Problem by Multi-objective Quasi Oppositional Jaya Algorithm
1 Introduction
2 Preliminary
3 Formulation of Traveling Salesman Problem
3.1 Fuzzy Multi-objective Traveling Salesman Problem
3.2 For Fuzzy TSP Possibility Necessity Approach
4 AL-Based MOQO Jaya Algorithm for Multi-objective Problem
5 Numerical Illustration
5.1 Proposed Approach for Traveling Salesman Library Problem Data Set
5.2 Solution of Fuzzy Multi-objective Traveling Salesman Problem
5.3 Solution of Fuzzy Multi-objective Traveling Salesman Problem for Large Data Set
6 Conclusion
References
Performance Assessment and Optimization of Tungsten Inert Gas (TIG) Welding Process Parameters Using Taguchi Method and DEA
1 Introduction
1.1 Taguchi Process
1.2 Data Envelopment Analysis (DEA)
2 Material and Experimentation
3 Result and Analysis
4 Conclusion
References
Real Power Loss Minimization by Multiple DG Placement in Distribution System Using Teaching and Learning-Based Optimization Method
1 Introduction
2 Loss Minimization Methods
3 Problem Formulation
4 Optimization Techniques
5 Simulation Results and Analysis
6 Conclusion
References
Prediction of Delamination Parameters in a Vibrating Laminated Composite Plate Affixed with Piezoelectric Sensor Via Cuckoo Search Optimization
1 Introduction
2 Mathematical Modelling
3 Results and Discussions
3.1 Validation Study
3.2 Natural Frequency Response
3.3 Output Voltage Response
4 Optimization
5 Conclusion
References
Time–Cost Trade-Off Problems with Multi-objective Quasi-Oppositional Teaching Learning-Based Optimization
1 Introduction
2 Problem Formulation
3 The OBL for Optimization
4 Initialization of OBL Population of Size Npop
5 Generation Jumping of Opposition-Based Learning
6 Numerical Examples
7 18-Activity Construction Project
8 Conclusion
References
Material Selection of Steering Rack in ATV Using AHP
1 Introduction
2 Mathematical Model Using AHP
3 Application of AHP as a Material Selection Tool
4 Results
References
Measuring the Performance of Circular Supply Chain Implementation Using Pythagorean Fuzzy DEMATEL Approach
1 Introduction
2 Literature Review
3 Methodology
3.1 Pf-Dematel
4 Results
4.1 The Case Organization and Problem Statement
4.2 Computational Procedure
5 Discussion
6 Conclusions
References
Comparative Performance of Coal-Fired Power Plants Using Fuzzy AHP and TOPSIS
1 Introduction
2 Methodology
2.1 F-AHP
2.2 TOPSIS
3 Data and Computation
3.1 Selection of Alternatives
3.2 Selection of Criteria
3.3 Computing Weights of Criteria Using FAHP
3.4 Performance Evaluation of Alternatives Using TOPSIS
4 Discussion and Conclusion
References
A Fuzzy Synthetic Evaluation Approach for Condition Rating of RC Bridge Decks
1 Introduction
2 Methodology
2.1 Evaluation Parameters and Linguistic Scale Selection
2.2 Construction of Membership Functions for Fuzzy Linguistic Scales
2.3 Determination of Importance Weight of Parameters
2.4 Establish and Evaluate Fuzzy Evaluation Matrix
2.5 Defuzzification
3 A Case Study
3.1 Evaluation Parameters and Linguistic Scale Selection
3.2 Construction of Membership Function for Evaluation Parameters
3.3 Weight of Parameter Calculation Using AHP
3.4 Construct and Evaluate the Fuzzy Evaluation Matrix
3.5 Defuzzification
4 Conclusion
References
A Fuzzy AHP and Fuzzy DEMATEL Approach to Identify Barriers of Practical Implementation of HC in FCEC Scheme
1 Introduction
2 Methodology for the Study
2.1 Application of Fuzzy AHP Method
2.2 Application of Fuzzy DEMATEL Method
3 Result and Discussion
4 Conclusion
References
A Pythagorean Fuzzy AHP Approach to Evaluate the Enablers of Healthcare Operations
1 Introduction
2 Literature Survey
2.1 Identification of Enablers
2.2 Research Methods
3 Methodology
4 Application of Pythagorean Fuzzy AHP
5 Conclusion
References
Solution of Transportation Problem Using Interval-Valued Pythagorean Fuzzy Approach
1 Introduction
2 Preliminaries
3 Score Function
3.1 Proposed Score Function for Interval-Valued Pythagorean Fuzzy Set
3.2 Peng and Yang [24] Score Function For Interval-Valued Pythagorean Fuzzy Number
4 Mathematical Structure
4.1 Interval-Valued Pythagorean Fuzzy Transportation Problem
4.2 Proposed Methodology
4.3 Algorithm
4.4 Illustrative Examples
5 Results and Conclusion
6 Conclusion
References
Applying AHP to Smart City Development: Mobility, Healthcare, and Education
1 Introduction
2 Analytic Hierarchy Process
3 Applying AHP to Mobility, Healthcare, and Education
4 Results and Discussion
References
Evaluation of Adaptive Neuro-Fuzzy Inference System for Forecasting Soil’s Unconfined Compressive Strength
1 Introduction
1.1 Unconfined Compressive Strength
1.2 ANFIS Modeling Algorithm Flow Chart
2 Dataset for ANFIS Model Development
2.1 ANFIS Model Development and Structure
2.2 Testing and Training of the ANFIS Network
3 Results
3.1 Graphical Expression of ANFIS Model Variables Relationship
4 Conclusion
References
Crack Detection in a Dual-Disk Rotor-Bearing System Using Neural Network-Based Non-parametric Approach
1 Introduction
2 Methodology
2.1 Modeling of Cracked Rotor
2.2 Ball Bearing Forces
2.3 Damage Detection Methodology
3 Results and Discussion
3.1 Dynamic Response Studies
3.2 Neural Network Modeling
4 Conclusion
References
Comparative Fault Analysis of Frequency Disturbance Triggered Hybrid Islanding Detection
1 Introduction
2 Test System and Proposed Methodology
3 Wavelet Transform
4 Artificial Neural Network
5 Results
5.1 Wavelet Transform
5.2 ANN Prediction
6 Conclusion
References
A Smart Video Streaming Web Portal
1 Introduction
2 Objective
3 Literature Review
4 Proposed Methodology
5 Implementation
5.1 Algorithm (K-Means Clustering)
5.2 Module Description
6 Results
7 Conclusion and Future Scope
References
An SDN-Based DDoS Traffic Generation, Collection and Classification Using Machine Learning Techniques
1 Introduction
2 Implementation Environments and Methodology
3 Machine Learning Models and Evaluation Metrics
3.1 Machine Learning Models
3.2 Evaluation Metrics
4 Results and Discussion
5 Conclusions and Future Scope
References
An Intelligent Garbage Management System: An IoT-Based Application
1 Introduction and Brief Survey of Literature
2 Objectives
3 Proposed System
3.1 Configuring IFTTT
4 Working Process
5 Experimental Outcomes
6 Conclusion and Future Enhancement
References
Automatic Segmentation of Cell Nuclei Using VGG-Res-U-Net Architecture
1 Introduction
2 Methodology and Proposed Architecture
3 Datasets
4 Experimental Setup
5 Experimental Results
6 Conclusion
References
Smart Security System for Cash Dispensing Machine with Theft Protection
1 Introduction
2 Existing Work
3 Methods and Material
4 Results and Discussion
5 Prototype of the System
6 Conclusion
References
Production of Natural Coagulant from Plant Materials and to Evaluate the Efficiency for Water Treatment Along with Its Validation by ANN
1 Introduction
2 Materials and Methods
2.1 Plant Materials
2.2 Chemicals and Materials Used
2.3 Preparation of Synthetic Turbid Water (STW)
2.4 Preparation of Active Component
2.5 Optimum Coagulant
3 Phytochemical Analysis Test
4 Results and Discussions
4.1 Effect of Dosage of Coconut Husk
4.2 ANN in Coagulant Dosage Determination
4.3 Confirmation Using ANN
5 Conclusion
References
Analysing Failure Prediction for a Manufacturing Firm Using Machine Learning Algorithms
1 Introduction
2 Literature Review
3 Methodology
3.1 Machine Learning Algorithms
3.2 Salient Features of the Dataset
3.3 Development of Model
4 Results
5 Conclusion
References
A Deep Learning-Based Approach for Channel Estimation and Equalization for Cognitive Radio Systems
1 Introduction
2 Channel Estimation in Cognitive Networks
2.1 Nature of Wireless Channels
2.2 Machine Learning for Channel Estimation
2.3 Equalizer Design
3 Proposed Methodology
4 Experimental Results
5 Conclusion
References
A Belief-Degree-Based Environment for Multi-objective Capacitated Transportation Problem
1 Introduction
2 Basic Fundamentals of Uncertainty Theory
3 Problem Description
4 Uncertain Mathematical Model
4.1 OV-Model for Uncertain MOCTP
5 Solution Methodologies
5.1 Minimizing Distance Method
5.2 Fuzzy Programming Technique
6 Numerical Illustration
7 Comparison of the Results
8 Conclusion
References
Optimisation of Ball Burnishing Parameters for Surface Finish in AL6082
1 Introduction
2 Methodology
3 Modified Factorial Design
4 Development of Mathematical Model
5 Experimental Observations and Analysis
6 Result and Conclusion
References
Real-Coded Genetic Algorithm for Fixed Structure PID Controller Tuning in Sodium Chlorate Process
1 Introduction
2 Sodium Chlorate Process
2.1 Chemistry of the Process
3 Robust Fixed Structure Controller
4 Evolutionary Algorithm (EA)
4.1 Real-Coded Genetic Algorithm (RGA)
5 Results and Discussions
6 Conclusion
References
Application of MCDM Approach for Vendor Selection in LED Light Industry
1 Introduction
2 The Proposed Methodology
3 Case Study
4 Conclusion
References
Optimum Design of Cumene Reactor Using COMSOL Multiphysics Modelling
1 Introduction
2 Model of Packed Bed Cumene Reactor
2.1 Assumptions and Simplifications for the Model
2.2 Geometry of the Computational Model
3 Reaction Kinetics and Effect of Parameter Variations
4 Computational Results
5 Conclusion
References
Simulation Studies on Optimizing the Substrate Temperature Using a Novel Spiral Filament in Hot Filament Chemical Vapor Deposition of Diamond Thin Films
1 Introduction
2 Model and Simulation Parameters
3 Simulation Results and Discussions
4 Optimization of Deposition Parameters
4.1 Optimizing the Number of Turns (T)
4.2 Optimizing Substrate to Filament Distance (H)
4.3 Optimizing the Filament Diameter (D)
4.4 Arrangement of Gas Inlet and Gas Outlet
5 Conclusion
References
Effect of Runner Hub Cone Geometry on Performance of Kaplan Turbine Using CFD
1 Introduction
2 Research Methodology
2.1 3-D Model and Grid Generation
2.2 Boundary Conditions and Turbulence Modeling
2.3 Solver Settings
2.4 Computation of Flow Parameters
2.5 Grid Independence Test
3 Results and Discussions
3.1 Simulation Results for Different Runner Cone Geometries
3.2 Variations of Flow Parameters
4 Conclusion
References
Temperature and Thermal Stress Analysis of TBC Coated Diesel Engine Piston for Variable Thickness of TBC
1 Introduction
2 Thermal Barrier Coating Material
3 Methodology
4 Results and Discussion
5 Conclusion
References
Fault Diagnosis of Centrifugal Pump Using Parameter Estimation and Parity Equation
1 Introduction
2 Mathematical Model
2.1 Static Pump-Pipe Model
2.2 Dynamic Pump-Pipe Model
3 Fault Detection Techniques
3.1 Parameter Estimation Fault Detection Technique: Under Steady-State Condition
3.2 Parity Equation: For Dynamic Condition
4 Results and Discussion
4.1 Fault Isolation: Likelihood Ratio Test
4.2 Fault Classification: Linear SVM Classifier
5 Conclusions
References
Algorithm for Extraction of Time-Domain and Linear Features of FHRV
1 Introduction
2 Methodology
2.1 FHR Signals Collected from CTG
2.2 Time Domain Analysis of FHRV
3 Results and Discussion
4 Conclusion
References
Optimal Auto-Tuned PID Controller for Twin Rotor MIMO System
1 Introduction
2 Mathematical Model of TRMS
3 Proposed Auto-Tuning Scheme
3.1 Online Tuning Mechanism
4 Optimization Algorithm: Rao-1
5 Result
6 Conclusion
References
Optimization of Surface Roughness in Wire Cut Electric Discharge Machining of Ti6Al4V Alloy Using Taguchi Method and ANOVA
1 Introduction
2 Materials and Methods
2.1 Design of Experiment
3 Results and Discussions
3.1 Experimental Results
4 Conclusions
References
Multi-objective Design Optimization of Spherical Rolling Bearings
1 Introduction
2 General Framework of SAMP-Rao Algorithms
3 Mathematical Model of the SRB Problem
3.1 Design Variables
3.2 Objective Functions
4 Computational Results and Analysis
5 Conclusion
References
An Intelligent Cooling System Based on Predictive Time Domain Algorithm with Thermoelectric Coolers for Wind Turbines
1 Introduction
2 Design of Proposed System
3 Experimental Results and Analysis
4 Conclusion and Future Work
References
Lambda Iteration Technique for Economic Load Dispatch Problem
1 Introduction
2 Generator Operating Cost Curves
3 Formulation of the Problem of Economic Load Dispatch
3.1 Objective Function
3.2 System Constraint
3.3 Equality Constraint
3.4 Inequality Constraint
4 Algorithm for Lambda Iteration Method
4.1 The Flow Chart of Lambda Iteration Technique
5 Result and Discussion
6 Case Study: Six Generating Units
7 Conclusion
References
Influence of TAKT Time on Optimization of Cost of Production Through Fixation of Workstations
1 Introduction
2 TAKT Time
3 Problem Statements
4 Methodology
5 Case Study: Electric Iron Manufacturing Plant
5.1 Analysis of TAKT Time and LOB When Customer Demand is 1 Unit Per Unit Time
5.2 Analysis of TAKT Time and LOB When Customer Demand is 200 Units/Unit Time
5.3 Analysis of TAKT Time and LOB When Customer Demand is 500 Units/ Unit Time
6 Conclusion
References
Performance of Multi-criteria Inventory Control Strategies for a Pump Manufacturing Organization
1 Introduction
2 Research Background
3 Inventory Control Algorithms Adopted
4 Results and Discussion
4.1 Inventory Classification Results
4.2 Inventory Performance Analysis
5 Conclusions
References
Trajectory Optimization of an Industrial Robot Using Teaching–Learning-Based Optimization
1 Introduction
2 TLBO Algorithm
3 Kinematic Modeling of a Robot Arm
3.1 Formulation of Optimization Problem
4 Case Study
4.1 Solution Methodology
4.2 Results of Optimization Using TLBO
5 Conclusions
References
Design of Mechanical Components Using Variants of Rao Algorithm
1 Introduction
2 Optimization Algorithms Used
2.1 Rao Algorithms
2.2 Self-Adaptive Multi-Population (SAMP) Rao Algorithms
2.3 Quasi-Oppositional-Based (QO) Rao Algorithms
3 Optimization of Selected Mechanical Design Problems
3.1 Planetary Gear Train
3.2 Piston Lever
4 Conclusions
References
Multi-Objective Design Optimization of Solar Dish Stirling Heat Engine
1 Introduction
2 Multi-Objective Rao Algorithms and MADM Techniques
3 Mathematical Model of the SDSHE Problem
4 Computational Results and Analysis
5 Conclusion
References
Multi-objective Design Optimization of Plate-Fin Heat Exchanger Using SAMP Rao-3 Algorithm
1 Introduction
2 Self-Adaptive Multi-population Rao-3 Algorithm
3 Design of Plate Fin Heat Exchanger (PFHE)
4 Case Study
5 Results and Discussion
6 Conclusion
References