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Numerical Optimization in Engineering and Sciences - Select Proceedings of NOIEAS 2019
Contents
6
About the Editors
11
Hydro-Chemistry for the Analysis of Sub-surface Water Quality in North-Eastern Haryana: A Fast-Urbanizing Region
12
1 Introduction
13
2 Materials and Methods
14
2.1 Region of Study
14
2.2 Methodology
16
3 Results and Discussion
16
3.1 Hydro-Chemical Indices
17
3.2 Hydro-Chemical Process Assessment
18
4 Quality of Water
20
4.1 Quality of Domestic Water
20
4.2 Total Hardness (TH)
21
4.3 Base-Exchange Index (BEI)
22
5 Conclusions
22
References
23
Numerical Optimization of Pile Foundation in Non-liquefiable and Liquefiable Soils
25
1 Introduction
25
1.1 Topology Optimization of Pile Foundation
26
1.2 Cost Optimization of Pile Foundation with a Raft
26
2 Topology Optimization of Pile Foundation
27
2.1 FE Modelling
28
2.2 Results and Discussion
29
3 Cost Optimization of a Pile Foundation with Raft
31
3.1 Objective Function and Constraints of the Optimization Algorithm
31
3.2 Results and Discussion
32
4 Conclusion
32
References
33
Nonlinear Regression for Identifying the Optimal Soil Hydraulic Model Parameters
34
1 Introduction
34
2 Materials and Methods
35
2.1 Analytical Models
35
2.2 Experimental Data
36
2.3 Nonlinear Regression
36
2.4 HYDRUS
37
3 Results and Discussion
37
3.1 Soil Moisture Characteristics
37
3.2 Soil Hydraulic Parameter Estimation
38
3.3 SMC Comparison
40
4 Conclusion
42
Appendix
42
References
43
Assessment of Microphysical Parameterization Schemes on the Track and Intensity of Titli Cyclone Using ARW Model
44
1 Introduction
44
2 Data and Methodology
45
2.1 ARW Model
45
3 Data Used
46
4 Numerical Experiments
46
5 Results and Discussions
47
6 Sensitivity of Microphysics Parameterization Schemes
47
7 Track and Intensity Errors
48
8 Summary and Conclusions
50
References
51
Topology Optimization of Concrete Dapped Beams Under Multiple Constraints
52
1 Introduction
52
2 Modeling of Dapped End Beams
53
3 Formulation of Topology Optimization Problems
54
4 Results and Discussion
55
4.1 Problem 1
56
4.2 Problem 2
57
4.3 Problem 3
58
4.4 Problem4
59
5 Conclusions
59
References
60
Selecting Optimized Mix Proportion of Bagasse Ash Blended Cement Mortar Using Analytic Hierarchy Process (AHP)
61
1 Introduction
61
2 Optimization Methodology
63
3 Methodology for Optimization of Bagasse Ash Blended Cement Mortar
65
4 Results and Discussions
66
4.1 Generating Pair-Wise Comparison Matrix
66
4.2 Sub-criteria Weights
66
4.3 Finding Consistency Ratio
68
4.4 Normalized Weights and Ranking
69
5 Conclusion
69
References
70
Regional Optimization of Global Climate Models for Maximum and Minimum Temperature
71
1 Introduction
71
2 Study Area
72
3 Observed and Climate Data
72
4 Methodology
73
4.1 Statistical Metrics
73
5 Results and Discussion
74
5.1 Analysis of Maximum Temperature
75
5.2 Analysis of Minimum Temperature
75
6 Conclusion
78
References
78
Numerical Optimization of Settlement in Geogrid Reinforced Landfill Clay Cover Barriers
80
1 Introduction
80
2 Materials Used
82
2.1 Soil
82
2.2 Geogrids
83
3 Experimental Testing Procedure
84
4 Results and Discussion
84
4.1 Effect of Number of Layers of Geogrids
84
4.2 Effect of Type of Geogrid
85
5 Regression Analysis
86
6 Conclusion
88
References
88
Optimization of Bias Correction Methods for RCM Precipitation Data and Their Effects on Extremes
90
1 Introduction
91
2 Materials and Methodology
92
2.1 Bias Correction Methods
92
2.2 Evaluation Methodology
94
3 Results
94
4 Conclusion
97
References
97
Regional Optimization of Existing Groundwater Network Using Geostatistical Technique
99
1 Introduction
100
2 Study Area
101
3 Methodology
101
3.1 Geostatistical Method
101
3.2 Cross-Validation
102
3.3 Thematic Maps Preparation
103
3.4 Estimating Optimum Observation Wells
103
4 Results and Discussions
104
4.1 Cross-Validation of GWL Fluctuations
104
4.2 Multi-parameter Impact on GLFs
104
4.3 GLFs with Reference to Geological Features
105
4.4 GLFs with Reference to Lineaments
105
4.5 GLFs with Reference to Groundwater Recharge
109
4.6 Optimization
109
5 Conclusion
111
References
111
Water Quality Analysis Using Artificial Intelligence Conjunction with Wavelet Decomposition
113
1 Introduction
114
2 Data Collection/Assessment
115
3 Mathematical Prototyping
116
3.1 Wavelet Analysis
116
3.2 Least Squares Support Vector Regression (LSSVR)
120
3.3 Wavelet LSSVR Prototype
120
4 Simulation Errors
122
4.1 Root-Mean-Square Error (RMSE)
122
4.2 Coefficient of Determination (R2)
122
4.3 Mean Absolute Error (MAE)
122
5 Results and Discussions
123
6 Conclusion
124
References
129
Performance Evaluation of Line of Sight (LoS) in Mobile Ad hoc Networks
130
1 Introduction
130
2 Literature Survey
131
3 Methodology
133
3.1 Two Host Communicative Wirelessly
133
3.2 Adding More Nodes and Decreasing the Communication Range
134
3.3 Establishment of Static Routing
134
3.4 Power Consumption
135
3.5 Configuring Node Movements
135
3.6 Configuring ad hoc Routing (AODV)
136
3.7 Adding Obstacles to the Environment
136
3.8 Changing to a More Realistic Radio Model
137
3.9 Configuring a More Accurate Path Loss Model
137
3.10 Introducing Antenna Gain
138
4 Result Analysis
138
5 Conclusion
143
References
143
Activeness Based Propagation Probability Initializer for Finding Information Diffusion in Social Network
145
1 Introduction
145
2 Background
146
2.1 Research Problem
146
3 Activeness Based Propagation Probability Initializer (APPI)
147
3.1 Activeness Value Finder
147
3.2 Propagation Probability Initializer
148
4 Experimental Results and Discussion
148
4.1 Implementation
148
4.2 Results for Synthetic Network
149
4.3 Real-World Network
150
5 Conclusion and Future Work
150
References
151
Solving Multi-attribute Decision-Making Problems Using Probabilistic Interval-Valued Intuitionistic Hesitant Fuzzy Set and Particle Swarm Optimization
152
1 Introduction
152
2 Preliminaries
153
3 Proposed Algorithm
156
4 Numerical Example
157
5 Conclusion
160
References
160
Assessment of Stock Prices Variation Using Intelligent Machine Learning Techniques for the Prediction of BSE
162
1 Introduction
162
2 Methodology
163
2.1 Data Collection
163
2.2 M5 Prime Regression Tree (M5’)
164
2.3 Multivariate Adaptive Regression Splines (MARS)
164
3 Results and Discussions
164
4 Classification and Regression Tree (CART)
165
5 Conclusion
168
References
169
Short-Term Electricity Load Forecast Using Hybrid Model Based on Neural Network and Evolutionary Algorithm
170
1 Introduction
170
2 Background Details
171
3 Short-Term Electricity Load Forecast
172
4 Experiments and Result Analysis
174
5 Conclusion
178
References
178
Diagnostics Relevant Modeling of Squirrel-Cage Induction Motor: Electrical Faults
180
1 Introduction
180
2 Extended State-Space Model of SCIM
181
2.1 SCIM Models
182
2.2 Key Parameters for SCIM Models
184
3 Squirrel-Cage Induction Motor State Estimation Using Extended Kalman Filter and Discriminatory Ability Index for Model-Based Fault Diagnosis
185
4 Main Simulation Results and Observations
185
4.1 Stator Inter-Turn Fault and Rotor Inter-Turn Fault
185
4.2 Robustness to Parameter Variations
188
5 Conclusion
189
Appendix
190
References
191
Comparative Study of Perturb & Observe (P&O) and Incremental Conductance (IC) MPPT Technique of PV System
193
1 Introduction
193
2 Solar Power Generation
194
3 Maximum Power Point Tracking (MPPT) Algorithm
195
4 Simulation Result: Comparison and Discussion
197
5 Conclusion
199
References
200
Conceptualization of Finite Capacity Single-Server Queuing Model with Triangular, Trapezoidal and Hexagonal Fuzzy Numbers Using ?-Cuts
202
1 Introduction
202
2 Essential Ideas and Definitions
203
2.1 Fuzzy Number [5]
203
2.2 ?-Cut [5]
203
2.3 Triangular Fuzzy Number [8]
203
2.4 Trapezoidal Fuzzy Number [9]
204
2.5 Hexagonal Fuzzy Number [10]
204
2.6 Arithmetic for Interval Analysis [12]
204
3 The Documentations and Suspicions
205
3.1 Suspicions
205
3.2 Documentations
205
4 Formulation of Proposed Lining Miniature
206
5 Solution Approach
206
6 Numerical Illustrations
207
7 Comparison of Triangular, Trapezoidal and Hexagonal Fuzzy Numbers at Various ? Values
210
8 Results and Discussions
211
9 Limitations of the Proposed Model
212
10 Conclusion
212
References
212
A Deteriorating Inventory Model with Uniformly Distributed Random Demand and Completely Backlogged Shortages
214
1 Introduction
214
2 Documentations and Assumptions
216
2.1 Notations
216
2.2 Assumptions
216
3 Mathematical Model
217
4 Algorithm
219
5 Numerical Examples
220
6 Post-Optimal Analysis
220
7 Observations
220
8 Conclusion
221
References
224
Analysis of M/EK/1 Queue Model in Bulk Service Environment
225
1 Introduction
225
2 M/Ek/1 Model in Bulk Service Environment
226
3 Generating Function of the State Probabilities Based on Ambulance Capacity
229
4 Conclusion
230
References
230
Role of Consistency and Random Index in Analytic Hierarchy Process—A New Measure
232
1 Introduction
232
2 Study of Random Index Values
233
2.1 First Attempt to Estimate Random Index Values Using Cubic Function
233
2.2 Least Squares Cubic Function for ‘x’ and R.I(x)
233
2.3 Second Attempt to Evaluate Random Index Values by a New Measure
235
2.4 Least Squares Straight Line for ‘x’ and bar?max
235
3 Illustrations
236
3.1 Comparison Matrix of Dimension ‘4’
236
3.2 Comparison Matrix of Dimension ‘5’
237
4 Limitations
237
5 Conclusion
237
References
238
Sensitivity Analysis Through RSAWM—A Case Study
239
1 Introduction
239
2 Methodology
240
2.1 Algorithm of RSAW Method
240
2.2 Sensitivity Analysis
240
3 Illustration
241
4 Ranks of the Alternatives by RSAWM
242
5 Changing the Weight of Criteria
242
5.1 Highest Ranked Criteria
243
5.2 Criteria at Random
243
5.3 Least Ranked Criteria
243
6 Conclusion
243
References
243
RSAWM for the Selection of All Round Excellence Award—An Illustration
245
1 Introduction
245
2 Methodology
246
2.1 Algorithm of RSAW Method
246
2.2 Sensitivity Analysis
246
3 Illustration
247
4 Ranks of the Alternatives by RSAWM
247
5 Changing the Weight of Criteria
247
5.1 Highest Ranked Criteria
252
5.2 Criteria at Random
252
5.3 Least Ranked Criteria
252
6 Conclusion
252
Appendix 1
252
Appendix 2
254
Appendix 3
255
References
262
Solving Bi-Level Linear Fractional Programming Problem with Interval Coefficients
263
1 Introduction
263
2 Preliminaries
264
2.1 Arithmetic Operations on Intervals
264
2.2 Variable Transformation Method
265
3 Problem Formulation
265
4 Proposed Method of Solution
266
5 Numerical Example
268
6 Conclusion
270
References
271
RBF-FD Based Method of Lines with an Optimal Constant Shape Parameter for Unsteady PDEs
272
1 Introduction
272
2 RBF-FD Based MOL for Unsteady PDEs
273
3 Optimal Shape Parameter
274
4 Validation
275
5 Conclusion
277
References
277
Parametric Accelerated Over Relaxation (PAOR) Method
279
1 Introduction
279
2 PAOR Method
280
3 Choice of the Parameters ?,r and ?
282
4 Numerical Examples
283
5 Conclusion
284
References
284
Solving Multi-choice Fractional Stochastic Transportation Problem Involving Newton's Divided Difference Interpolation
285
1 Introduction
285
2 Problem Statement
286
3 Solution Methodology
287
3.1 Newton's Divided Difference Interpolating Polynomial for Multi-choice Parameters
287
3.2 Conversion of Probabilistic Constraints
289
4 Numerical Example
291
5 Results and Discussion
293
6 Conclusion
293
References
293
On Stability of Multi-quadric-Based RBF-FD Method for a Second-Order Linear Diffusion Filter
295
1 Introduction
295
2 An RBF-FD Scheme for Unsteady Problems
296
3 Linear Diffusion Filter
297
3.1 Stability of RBF-FD Scheme
298
4 Conclusion
300
References
301
Portfolio Optimization Using Particle Swarm Optimization and Invasive Weed Optimization
302
1 Introduction
302
2 Preliminaries
303
2.1 Risk–Return Portfolio Analysis
303
2.2 Particle Swarm Optimization
304
2.3 Invasive Weed Optimization
305
3 Results and Discussions
305
4 Concluding Remarks
308
References
308
The Influence of Lewis Number on Natural Convective Nanofluid Flows in an Enclosure: Buongiorno’s Mathematical Model: A Numerical Study
310
1 Introduction
310
2 Mathematical Governing Equations
311
3 Numerical Method and Validation
313
4 Results and Discussion
314
5 Conclusion
320
References
320
Reliability Model for 4-Modular and 5-Modular Redundancy System by Using Markov Technique
323
1 Introduction
324
2 Reliability Modelling of a 4-Modular Redundancy System
325
2.1 At Least Two Modules Must Operate for Functioning of the System
325
2.2 At Least Three Modules Must Operate for Functioning of the System
327
3 Reliability Modelling of a 5-Modular Redundancy System
328
3.1 At Least Two Modules Must Operate for Functioning of the System
328
3.2 At Least Three Modules Must Operate for Functioning of the System
329
4 Numerical Results
330
5 Conclusion
332
References
332
An Improved Secant-Like Method and Its Convergence for Univariate Unconstrained Optimization
333
1 Introduction
333
2 An Improved Secant-Like Method
335
3 Numerical Test
337
4 Conclusion
339
References
339
Integrability Aspects of Deformed Fourth-Order Nonlinear Schrödinger Equation
340
1 Introduction
340
2 Lax Pair and Soliton Solutions of D4oNLS Equation
342
2.1 Lax Pair
342
2.2 Soliton Solutions
342
3 Conclusion
348
References
349
A New Approach for Finding a Better Initial Feasible Solution to Balanced or Unbalanced Transportation Problems
351
1 Introduction
351
2 Proposed Method
353
3 Numerical Illustration
355
4 Conclusion
359
References
360
Heat Transfer to Peristaltic Transport in a Vertical Porous Tube
362
1 Introduction
362
2 Mathematical Formulation
363
3 Analysis
365
4 Results and Discussion
367
5 Conclusion
370
References
370
Geometrical Effects on Natural Convection in 2D Cavity
371
1 Introduction
371
2 Governing Equations
372
3 Results and Discussion
373
4 Conclusion
376
References
377
Convection Dynamics of SiO2 Nanofluid
378
1 Introduction
379
2 Mathematical Modeling
379
2.1 Stability Analysis
382
3 Results and Discussions
383
4 Conclusion
385
References
386
Development of a Simple Gasifier for Utilization of Biomass in Rural Areas for Transportation and Electricity Generation
387
1 Introduction
388
2 Experimental Setup
389
3 Results and Discussions
390
4 Conclusion
391
References
391
Identification of Parameters in Moving Load Dynamics Problem Using Statistical Process Recognition Approach
393
1 Introduction
393
2 The Problem Definition
394
3 Statistical Process Recognition (SPR) Approach
396
4 Results and Discussions
398
5 Conclusion
399
References
399
TIG Welding Process Parameter Optimization for Aluminium Alloy 6061 Using Grey Relational Analysis and Regression Equations
400
1 Introduction
400
2 Experimental Work
402
2.1 Design of Experiments (DOE)
402
2.2 Specimen Preparation
404
2.3 Tensile Test
404
2.4 Hardness Test
405
2.5 Optimization Techniques
406
3 Results and Discussion
406
3.1 Grey Relational Analysis (GRA)
406
3.2 Regression Analysis
408
4 Conclusion
410
References
411
Mathematical Modeling in MATLAB for Convection Through Porous Medium and Optimization Using Artificial Bee Colony (ABC) Algorithm
413
1 Introduction
413
2 Mathematical Modeling
414
2.1 ABC Algorithm
415
3 Result and Discussion
415
3.1 Mathematical Modeling with Optimization Techniques
416
3.2 Iteration-Based Graph for Different Algorithms
417
4 Conclusion
419
References
421
Utility Theory Embedded Taguchi Optimization Method in Machining of Graphite-Reinforced Polymer Composites (GRPC)
422
1 Introduction
423
2 Literature Review
423
3 Experimental Details
424
3.1 Materials Used for Fabrication Work
425
3.2 Specification of CNC Vertical Machining Center
426
3.3 Equipment Used for Measuring Responses (Thrust and Torque) During Machining
427
3.4 Metal Removal Rate (MRR)
427
3.5 Surface Roughness (Ra)
428
4 Parametric Optimization: Utility Theory
428
5 Results and Discussions
430
6 Conclusion
431
References
432
Optimization of Micro-electro Discharge Drilling Parameters of Ti6Al4V Using Response Surface Methodology and Genetic Algorithm
433
1 Introduction
434
2 Exper?mentat?on Deta?ls
434
2.1 Work Piece, Tool Material and Dielectric Materials
434
3 Analysis of Variance
436
3.1 Estimation of Recast Layer Thickness, Change in Micro-Hardness Using ANOVA
436
3.2 Optimization Using Genetic Algorithm
437
4 Results and Discussions
439
5 Conclusion
440
References
440
Multi-response Optimization of 304L Pulse GMA Weld Characteristics with Application of Desirability Function
441
1 Introduction
441
2 Experimental Methodology
443
2.1 Fixing the Range of Independent Process Variables
443
2.2 Measurement of Weld Geometrical, Metallurgical and Mechanical Characteristics
444
2.3 Development of Predictive Model
444
2.4 Analysis of Variance for Developed Predictive Models
447
3 Optimization of Process Parameters/Responses with RSM-Based Desirability Approach
448
4 Effect of Preferred Process Variables on Desirability
450
5 Conclusion
451
References
451
Simulation Study on the Influence of Blank Offset in Deep Drawing of Circular Cups
453
1 Introduction
453
2 Tool Setup Design
454
3 Simulation Tests
455
4 Conclusion
459
References
460
PCA-GRA Coupled Multi-criteria Optimisation Approach in Machining of Polymer Composites
461
1 Introduction
461
1.1 Literature Review
462
2 Experimental Detail
463
3 Concept of GRA and PCA
465
4 Results and Discussions
468
5 Conclusion
470
References
471
FEA-Based Electrothermal Modeling of a Die-Sinker Electro Discharge Machining (EDM) of an Aluminum Alloy AA6061
472
1 Introduction
473
2 Numerical Modeling of EDM Process
474
3 Results and Discussions
476
3.1 Calculation of the Theoretical Material Removal Rate, MRRth (Mm3/Min)
476
3.2 Calculation of the Experimental Material Removal Rate, MRRexp (Mm3/Min)
479
4 Conclusion
481
References
482
Modeling of Material Removal Rate and Hole Circularity on Soda–Lime Glass for Ultrasonic Drilling
484
1 Introduction
484
2 Experimental Details
486
3 Methodology
488
4 Results and Discussions
489
5 Conclusion
493
References
494
Experimental Investigation on Chemical-Assisted AISI 52100 Alloy Steel Using MAF
496
1 Introduction
496
2 Experimental Detail
497
2.1 Work Material
497
2.2 Experimental Set-up
498
2.3 Selection of Process Parameters and Their Range
498
2.4 RSM for Parameter Design
498
2.5 Process Variables
500
3 Results and Discussions
501
3.1 Model Summary
502
3.2 Interactive Effects of Inputs Parameters on Surface Roughness
502
3.3 Single Optimisation Through Response Surface Methodology
504
4 Conclusion
505
References
505
Modeling for Rotary Ultrasonic Drilling of Soda Lime Glass Using Response Surface Methodology
506
1 Introduction
506
2 Experimental Details
507
2.1 Selection of Process Parameters and Their Range
508
2.2 RSM for Parameter Design
509
2.3 Process Variables
509
3 Results and Discussions
511
3.1 Mathematical Model
511
3.2 Effect of Process Parameters on MRR and Hole Circularity
512
4 Conclusion
515
References
515
Process Optimization of Digital Conjugate Surfaces: A Review
517
1 Introduction
517
1.1 Conjugate Surface Concept
518
2 Literature Review
520
3 Conclusion
523
References
523
Optimization of Wear Parameters of AA7150-TiC Nanocomposites by Taguchi Technique
525
1 Introduction
525
2 Materials and Methods
526
3 Results and Discussions
529
4 Conclusion
531
References
532
Influence of Pulse GMA Process Variables on Penetration Shape Factor of AISI 304L Welds
533
1 Introduction
533
2 Experimental Methodology
535
2.1 Fixing the Range of Independent Process Variables
535
2.2 Measurement of Weld Geometrical Features
536
3 Application of Analysis of Variance (ANOVA)
536
4 Validation of Results
539
5 Effect of Process Variables on WPSF
540
5.1 Direct Effect of Shielding Gas Flow Rate on WPSF
540
5.2 Direct Effect of Welding Current on WPSF
541
5.3 Direct Effect of Arc Voltage on WPSF
541
5.4 Interactive Effects Among Welding Current and Voltage on WPSF
541
5.5 Interactive Effects of Shielding Gas Flow Rate and Welding Current on WPSF
542
5.6 Interactive Effects of Arc Voltage and Shielding Gas Flow Rate on WPSF
543
6 Conclusion
543
References
545
Numerical Optimization of Trench Film Cooling Parameters Using Response Surface Approach
546
1 Introduction
546
2 Response Surface Approaches
547
2.1 Numerical and Experimental Details
548
3 Results and Discussions
549
4 Conclusion
551
References
552
Analysis of Low Molecular Proteins Obtained from Human Placental Extract Considered as New Strategic Biomaterial for Pulp-Dentinal Regeneration
553
1 Introduction
554
2 Experimental Procedure
555
3 Results and Discussions
556
3.1 Determination of pH of the Solution
557
3.2 Determination of Protein Concentration by Bradford Assay
557
3.3 Identification of Potential Proteins of Interest (Table 3)
558
4 Conclusion
560
References
561
Predictive Data Optimization of Doppler Collision Events for NavIC System
563
1 Introduction
563
2 DC Predictive Analysis Methods for NavIC
564
2.1 Moving Average Filter Method
564
3 Results and Discussions
566
4 Conclusion
568
References
568
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