Numerical Optimization in Engineering and Sciences: Select Proceedings of NOIEAS 2019 (Advances in Intelligent Systems and Computing, 979)

✍ Scribed by Debashis Dutta (editor), Biswajit Mahanty (editor)

• Publisher: Springer
• Year: 2020
• Tongue: English
• Leaves: 569
• Category: Library

✦ Synopsis

This book presents select peer-reviewed papers presented at the International Conference on Numerical Optimization in Engineering and Sciences (NOIEAS) 2019. The book covers a wide variety of numerical optimization techniques across all major engineering disciplines like mechanical, manufacturing, civil, electrical, chemical, computer, and electronics engineering. The major focus is on innovative ideas, current methods and latest results involving advanced optimization techniques. The contents provide a good balance between numerical models and analytical results obtained for different engineering problems and challenges. This book will be useful for students, researchers, and professionals interested in engineering optimization techniques.

✦ Table of Contents

Contents
About the Editors
Hydro-Chemistry for the Analysis of Sub-surface Water Quality in North-Eastern Haryana: A Fast-Urbanizing Region
1 Introduction
2 Materials and Methods
2.1 Region of Study
2.2 Methodology
3 Results and Discussion
3.1 Hydro-Chemical Indices
3.2 Hydro-Chemical Process Assessment
4 Quality of Water
4.1 Quality of Domestic Water
4.2 Total Hardness (TH)
4.3 Base-Exchange Index (BEI)
5 Conclusions
References
Numerical Optimization of Pile Foundation in Non-liquefiable and Liquefiable Soils
1 Introduction
1.1 Topology Optimization of Pile Foundation
1.2 Cost Optimization of Pile Foundation with a Raft
2 Topology Optimization of Pile Foundation
2.1 FE Modelling
2.2 Results and Discussion
3 Cost Optimization of a Pile Foundation with Raft
3.1 Objective Function and Constraints of the Optimization Algorithm
3.2 Results and Discussion
4 Conclusion
References
Nonlinear Regression for Identifying the Optimal Soil Hydraulic Model Parameters
1 Introduction
2 Materials and Methods
2.1 Analytical Models
2.2 Experimental Data
2.3 Nonlinear Regression
2.4 HYDRUS
3 Results and Discussion
3.1 Soil Moisture Characteristics
3.2 Soil Hydraulic Parameter Estimation
3.3 SMC Comparison
4 Conclusion
Appendix
References
Assessment of Microphysical Parameterization Schemes on the Track and Intensity of Titli Cyclone Using ARW Model
1 Introduction
2 Data and Methodology
2.1 ARW Model
3 Data Used
4 Numerical Experiments
5 Results and Discussions
6 Sensitivity of Microphysics Parameterization Schemes
7 Track and Intensity Errors
8 Summary and Conclusions
References
Topology Optimization of Concrete Dapped Beams Under Multiple Constraints
1 Introduction
2 Modeling of Dapped End Beams
3 Formulation of Topology Optimization Problems
4 Results and Discussion
4.1 Problem 1
4.2 Problem 2
4.3 Problem 3
4.4 Problem4
5 Conclusions
References
Selecting Optimized Mix Proportion of Bagasse Ash Blended Cement Mortar Using Analytic Hierarchy Process (AHP)
1 Introduction
2 Optimization Methodology
3 Methodology for Optimization of Bagasse Ash Blended Cement Mortar
4 Results and Discussions
4.1 Generating Pair-Wise Comparison Matrix
4.2 Sub-criteria Weights
4.3 Finding Consistency Ratio
4.4 Normalized Weights and Ranking
5 Conclusion
References
Regional Optimization of Global Climate Models for Maximum and Minimum Temperature
1 Introduction
2 Study Area
3 Observed and Climate Data
4 Methodology
4.1 Statistical Metrics
5 Results and Discussion
5.1 Analysis of Maximum Temperature
5.2 Analysis of Minimum Temperature
6 Conclusion
References
Numerical Optimization of Settlement in Geogrid Reinforced Landfill Clay Cover Barriers
1 Introduction
2 Materials Used
2.1 Soil
2.2 Geogrids
3 Experimental Testing Procedure
4 Results and Discussion
4.1 Effect of Number of Layers of Geogrids
4.2 Effect of Type of Geogrid
5 Regression Analysis
6 Conclusion
References
Optimization of Bias Correction Methods for RCM Precipitation Data and Their Effects on Extremes
1 Introduction
2 Materials and Methodology
2.1 Bias Correction Methods
2.2 Evaluation Methodology
3 Results
4 Conclusion
References
Regional Optimization of Existing Groundwater Network Using Geostatistical Technique
1 Introduction
2 Study Area
3 Methodology
3.1 Geostatistical Method
3.2 Cross-Validation
3.3 Thematic Maps Preparation
3.4 Estimating Optimum Observation Wells
4 Results and Discussions
4.1 Cross-Validation of GWL Fluctuations
4.2 Multi-parameter Impact on GLFs
4.3 GLFs with Reference to Geological Features
4.4 GLFs with Reference to Lineaments
4.5 GLFs with Reference to Groundwater Recharge
4.6 Optimization
5 Conclusion
References
Water Quality Analysis Using Artificial Intelligence Conjunction with Wavelet Decomposition
1 Introduction
2 Data Collection/Assessment
3 Mathematical Prototyping
3.1 Wavelet Analysis
3.2 Least Squares Support Vector Regression (LSSVR)
3.3 Wavelet LSSVR Prototype
4 Simulation Errors
4.1 Root-Mean-Square Error (RMSE)
4.2 Coefficient of Determination (R2)
4.3 Mean Absolute Error (MAE)
5 Results and Discussions
6 Conclusion
References
Performance Evaluation of Line of Sight (LoS) in Mobile Ad hoc Networks
1 Introduction
2 Literature Survey
3 Methodology
3.1 Two Host Communicative Wirelessly
3.2 Adding More Nodes and Decreasing the Communication Range
3.3 Establishment of Static Routing
3.4 Power Consumption
3.5 Configuring Node Movements
3.6 Configuring ad hoc Routing (AODV)
3.7 Adding Obstacles to the Environment
3.8 Changing to a More Realistic Radio Model
3.9 Configuring a More Accurate Path Loss Model
3.10 Introducing Antenna Gain
4 Result Analysis
5 Conclusion
References
Activeness Based Propagation Probability Initializer for Finding Information Diffusion in Social Network
1 Introduction
2 Background
2.1 Research Problem
3 Activeness Based Propagation Probability Initializer (APPI)
3.1 Activeness Value Finder
3.2 Propagation Probability Initializer
4 Experimental Results and Discussion
4.1 Implementation
4.2 Results for Synthetic Network
4.3 Real-World Network
5 Conclusion and Future Work
References
Solving Multi-attribute Decision-Making Problems Using Probabilistic Interval-Valued Intuitionistic Hesitant Fuzzy Set and Particle Swarm Optimization
1 Introduction
2 Preliminaries
3 Proposed Algorithm
4 Numerical Example
5 Conclusion
References
Assessment of Stock Prices Variation Using Intelligent Machine Learning Techniques for the Prediction of BSE
1 Introduction
2 Methodology
2.1 Data Collection
2.2 M5 Prime Regression Tree (M5’)
2.3 Multivariate Adaptive Regression Splines (MARS)
3 Results and Discussions
4 Classification and Regression Tree (CART)
5 Conclusion
References
Short-Term Electricity Load Forecast Using Hybrid Model Based on Neural Network and Evolutionary Algorithm
1 Introduction
2 Background Details
3 Short-Term Electricity Load Forecast
4 Experiments and Result Analysis
5 Conclusion
References
Diagnostics Relevant Modeling of Squirrel-Cage Induction Motor: Electrical Faults
1 Introduction
2 Extended State-Space Model of SCIM
2.1 SCIM Models
2.2 Key Parameters for SCIM Models
3 Squirrel-Cage Induction Motor State Estimation Using Extended Kalman Filter and Discriminatory Ability Index for Model-Based Fault Diagnosis
4 Main Simulation Results and Observations
4.1 Stator Inter-Turn Fault and Rotor Inter-Turn Fault
4.2 Robustness to Parameter Variations
5 Conclusion
Appendix
References
Comparative Study of Perturb & Observe (P&O) and Incremental Conductance (IC) MPPT Technique of PV System
1 Introduction
2 Solar Power Generation
3 Maximum Power Point Tracking (MPPT) Algorithm
4 Simulation Result: Comparison and Discussion
5 Conclusion
References
Conceptualization of Finite Capacity Single-Server Queuing Model with Triangular, Trapezoidal and Hexagonal Fuzzy Numbers Using α-Cuts
1 Introduction
2 Essential Ideas and Definitions
2.1 Fuzzy Number [5]
2.2 α-Cut [5]
2.3 Triangular Fuzzy Number [8]
2.4 Trapezoidal Fuzzy Number [9]
2.5 Hexagonal Fuzzy Number [10]
2.6 Arithmetic for Interval Analysis [12]
3 The Documentations and Suspicions
3.1 Suspicions
3.2 Documentations
4 Formulation of Proposed Lining Miniature
5 Solution Approach
6 Numerical Illustrations
7 Comparison of Triangular, Trapezoidal and Hexagonal Fuzzy Numbers at Various α Values
8 Results and Discussions
9 Limitations of the Proposed Model
10 Conclusion
References
A Deteriorating Inventory Model with Uniformly Distributed Random Demand and Completely Backlogged Shortages
1 Introduction
2 Documentations and Assumptions
2.1 Notations
2.2 Assumptions
3 Mathematical Model
4 Algorithm
5 Numerical Examples
6 Post-Optimal Analysis
7 Observations
8 Conclusion
References
Analysis of M/EK/1 Queue Model in Bulk Service Environment
1 Introduction
2 M/Ek/1 Model in Bulk Service Environment
3 Generating Function of the State Probabilities Based on Ambulance Capacity
4 Conclusion
References
Role of Consistency and Random Index in Analytic Hierarchy Process—A New Measure
1 Introduction
2 Study of Random Index Values
2.1 First Attempt to Estimate Random Index Values Using Cubic Function
2.2 Least Squares Cubic Function for ‘x’ and R.I(x)
2.3 Second Attempt to Evaluate Random Index Values by a New Measure
2.4 Least Squares Straight Line for ‘x’ and  barλmax
3 Illustrations
3.1 Comparison Matrix of Dimension ‘4’
3.2 Comparison Matrix of Dimension ‘5’
4 Limitations
5 Conclusion
References
Sensitivity Analysis Through RSAWM—A Case Study
1 Introduction
2 Methodology
2.1 Algorithm of RSAW Method
2.2 Sensitivity Analysis
3 Illustration
4 Ranks of the Alternatives by RSAWM
5 Changing the Weight of Criteria
5.1 Highest Ranked Criteria
5.2 Criteria at Random
5.3 Least Ranked Criteria
6 Conclusion
References
RSAWM for the Selection of All Round Excellence Award—An Illustration
1 Introduction
2 Methodology
2.1 Algorithm of RSAW Method
2.2 Sensitivity Analysis
3 Illustration
4 Ranks of the Alternatives by RSAWM
5 Changing the Weight of Criteria
5.1 Highest Ranked Criteria
5.2 Criteria at Random
5.3 Least Ranked Criteria
6 Conclusion
Appendix 1
Appendix 2
Appendix 3
References
Solving Bi-Level Linear Fractional Programming Problem with Interval Coefficients
1 Introduction
2 Preliminaries
2.1 Arithmetic Operations on Intervals
2.2 Variable Transformation Method
3 Problem Formulation
4 Proposed Method of Solution
5 Numerical Example
6 Conclusion
References
RBF-FD Based Method of Lines with an Optimal Constant Shape Parameter for Unsteady PDEs
1 Introduction
2 RBF-FD Based MOL for Unsteady PDEs
3 Optimal Shape Parameter
4 Validation
5 Conclusion
References
Parametric Accelerated Over Relaxation (PAOR) Method
1 Introduction
2 PAOR Method
3 Choice of the Parameters α,r and ω
4 Numerical Examples
5 Conclusion
References
Solving Multi-choice Fractional Stochastic Transportation Problem Involving Newton's Divided Difference Interpolation
1 Introduction
2 Problem Statement
3 Solution Methodology
3.1 Newton's Divided Difference Interpolating Polynomial for Multi-choice Parameters
3.2 Conversion of Probabilistic Constraints
4 Numerical Example
5 Results and Discussion
6 Conclusion
References
On Stability of Multi-quadric-Based RBF-FD Method for a Second-Order Linear Diffusion Filter
1 Introduction
2 An RBF-FD Scheme for Unsteady Problems
3 Linear Diffusion Filter
3.1 Stability of RBF-FD Scheme
4 Conclusion
References
Portfolio Optimization Using Particle Swarm Optimization and Invasive Weed Optimization
1 Introduction
2 Preliminaries
2.1 Risk–Return Portfolio Analysis
2.2 Particle Swarm Optimization
2.3 Invasive Weed Optimization
3 Results and Discussions
4 Concluding Remarks
References
The Influence of Lewis Number on Natural Convective Nanofluid Flows in an Enclosure: Buongiorno’s Mathematical Model: A Numerical Study
1 Introduction
2 Mathematical Governing Equations
3 Numerical Method and Validation
4 Results and Discussion
5 Conclusion
References
Reliability Model for 4-Modular and 5-Modular Redundancy System by Using Markov Technique
1 Introduction
2 Reliability Modelling of a 4-Modular Redundancy System
2.1 At Least Two Modules Must Operate for Functioning of the System
2.2 At Least Three Modules Must Operate for Functioning of the System
3 Reliability Modelling of a 5-Modular Redundancy System
3.1 At Least Two Modules Must Operate for Functioning of the System
3.2 At Least Three Modules Must Operate for Functioning of the System
4 Numerical Results
5 Conclusion
References
An Improved Secant-Like Method and Its Convergence for Univariate Unconstrained Optimization
1 Introduction
2 An Improved Secant-Like Method
3 Numerical Test
4 Conclusion
References
Integrability Aspects of Deformed Fourth-Order Nonlinear Schrödinger Equation
1 Introduction
2 Lax Pair and Soliton Solutions of D4oNLS Equation
2.1 Lax Pair
2.2 Soliton Solutions
3 Conclusion
References
A New Approach for Finding a Better Initial Feasible Solution to Balanced or Unbalanced Transportation Problems
1 Introduction
2 Proposed Method
3 Numerical Illustration
4 Conclusion
References
Heat Transfer to Peristaltic Transport in a Vertical Porous Tube
1 Introduction
2 Mathematical Formulation
3 Analysis
4 Results and Discussion
5 Conclusion
References
Geometrical Effects on Natural Convection in 2D Cavity
1 Introduction
2 Governing Equations
3 Results and Discussion
4 Conclusion
References
Convection Dynamics of SiO2 Nanofluid
1 Introduction
2 Mathematical Modeling
2.1 Stability Analysis
3 Results and Discussions
4 Conclusion
References
Development of a Simple Gasifier for Utilization of Biomass in Rural Areas for Transportation and Electricity Generation
1 Introduction
2 Experimental Setup
3 Results and Discussions
4 Conclusion
References
Identification of Parameters in Moving Load Dynamics Problem Using Statistical Process Recognition Approach
1 Introduction
2 The Problem Definition
3 Statistical Process Recognition (SPR) Approach
4 Results and Discussions
5 Conclusion
References
TIG Welding Process Parameter Optimization for Aluminium Alloy 6061 Using Grey Relational Analysis and Regression Equations
1 Introduction
2 Experimental Work
2.1 Design of Experiments (DOE)
2.2 Specimen Preparation
2.3 Tensile Test
2.4 Hardness Test
2.5 Optimization Techniques
3 Results and Discussion
3.1 Grey Relational Analysis (GRA)
3.2 Regression Analysis
4 Conclusion
References
Mathematical Modeling in MATLAB for Convection Through Porous Medium and Optimization Using Artificial Bee Colony (ABC) Algorithm
1 Introduction
2 Mathematical Modeling
2.1 ABC Algorithm
3 Result and Discussion
3.1 Mathematical Modeling with Optimization Techniques
3.2 Iteration-Based Graph for Different Algorithms
4 Conclusion
References
Utility Theory Embedded Taguchi Optimization Method in Machining of Graphite-Reinforced Polymer Composites (GRPC)
1 Introduction
2 Literature Review
3 Experimental Details
3.1 Materials Used for Fabrication Work
3.2 Specification of CNC Vertical Machining Center
3.3 Equipment Used for Measuring Responses (Thrust and Torque) During Machining
3.4 Metal Removal Rate (MRR)
3.5 Surface Roughness (Ra)
4 Parametric Optimization: Utility Theory
5 Results and Discussions
6 Conclusion
References
Optimization of Micro-electro Discharge Drilling Parameters of Ti6Al4V Using Response Surface Methodology and Genetic Algorithm
1 Introduction
2 Experımentatıon Detaıls
2.1 Work Piece, Tool Material and Dielectric Materials
3 Analysis of Variance
3.1 Estimation of Recast Layer Thickness, Change in Micro-Hardness Using ANOVA
3.2 Optimization Using Genetic Algorithm
4 Results and Discussions
5 Conclusion
References
Multi-response Optimization of 304L Pulse GMA Weld Characteristics with Application of Desirability Function
1 Introduction
2 Experimental Methodology
2.1 Fixing the Range of Independent Process Variables
2.2 Measurement of Weld Geometrical, Metallurgical and Mechanical Characteristics
2.3 Development of Predictive Model
2.4 Analysis of Variance for Developed Predictive Models
3 Optimization of Process Parameters/Responses with RSM-Based Desirability Approach
4 Effect of Preferred Process Variables on Desirability
5 Conclusion
References
Simulation Study on the Influence of Blank Offset in Deep Drawing of Circular Cups
1 Introduction
2 Tool Setup Design
3 Simulation Tests
4 Conclusion
References
PCA-GRA Coupled Multi-criteria Optimisation Approach in Machining of Polymer Composites
1 Introduction
1.1 Literature Review
2 Experimental Detail
3 Concept of GRA and PCA
4 Results and Discussions
5 Conclusion
References
FEA-Based Electrothermal Modeling of a Die-Sinker Electro Discharge Machining (EDM) of an Aluminum Alloy AA6061
1 Introduction
2 Numerical Modeling of EDM Process
3 Results and Discussions
3.1 Calculation of the Theoretical Material Removal Rate, MRRth (Mm3/Min)
3.2 Calculation of the Experimental Material Removal Rate, MRRexp (Mm3/Min)
4 Conclusion
References
Modeling of Material Removal Rate and Hole Circularity on Soda–Lime Glass for Ultrasonic Drilling
1 Introduction
2 Experimental Details
3 Methodology
4 Results and Discussions
5 Conclusion
References
Experimental Investigation on Chemical-Assisted AISI 52100 Alloy Steel Using MAF
1 Introduction
2 Experimental Detail
2.1 Work Material
2.2 Experimental Set-up
2.3 Selection of Process Parameters and Their Range
2.4 RSM for Parameter Design
2.5 Process Variables
3 Results and Discussions
3.1 Model Summary
3.2 Interactive Effects of Inputs Parameters on Surface Roughness
3.3 Single Optimisation Through Response Surface Methodology
4 Conclusion
References
Modeling for Rotary Ultrasonic Drilling of Soda Lime Glass Using Response Surface Methodology
1 Introduction
2 Experimental Details
2.1 Selection of Process Parameters and Their Range
2.2 RSM for Parameter Design
2.3 Process Variables
3 Results and Discussions
3.1 Mathematical Model
3.2 Effect of Process Parameters on MRR and Hole Circularity
4 Conclusion
References
Process Optimization of Digital Conjugate Surfaces: A Review
1 Introduction
1.1 Conjugate Surface Concept
2 Literature Review
3 Conclusion
References
Optimization of Wear Parameters of AA7150-TiC Nanocomposites by Taguchi Technique
1 Introduction
2 Materials and Methods
3 Results and Discussions
4 Conclusion
References
Influence of Pulse GMA Process Variables on Penetration Shape Factor of AISI 304L Welds
1 Introduction
2 Experimental Methodology
2.1 Fixing the Range of Independent Process Variables
2.2 Measurement of Weld Geometrical Features
3 Application of Analysis of Variance (ANOVA)
4 Validation of Results
5 Effect of Process Variables on WPSF
5.1 Direct Effect of Shielding Gas Flow Rate on WPSF
5.2 Direct Effect of Welding Current on WPSF
5.3 Direct Effect of Arc Voltage on WPSF
5.4 Interactive Effects Among Welding Current and Voltage on WPSF
5.5 Interactive Effects of Shielding Gas Flow Rate and Welding Current on WPSF
5.6 Interactive Effects of Arc Voltage and Shielding Gas Flow Rate on WPSF
6 Conclusion
References
Numerical Optimization of Trench Film Cooling Parameters Using Response Surface Approach
1 Introduction
2 Response Surface Approaches
2.1 Numerical and Experimental Details
3 Results and Discussions
4 Conclusion
References
Analysis of Low Molecular Proteins Obtained from Human Placental Extract Considered as New Strategic Biomaterial for Pulp-Dentinal Regeneration
1 Introduction
2 Experimental Procedure
3 Results and Discussions
3.1 Determination of pH of the Solution
3.2 Determination of Protein Concentration by Bradford Assay
3.3 Identification of Potential Proteins of Interest (Table 3)
4 Conclusion
References
Predictive Data Optimization of Doppler Collision Events for NavIC System
1 Introduction
2 DC Predictive Analysis Methods for NavIC
2.1 Moving Average Filter Method
3 Results and Discussions
4 Conclusion
References