1. Dynamical Analysis in Modulated Logistic Maps
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1.1 Introduction
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1.2 Preliminaries
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1.3 Modulated Logistic Maps
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1.4 Dynamical Analysis in μxp(1 − x)q for p = 2 and q = 1
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1.4.1 Period-Doubling Bifurcation Analysis for the Map M2,1(μ, x)
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1.5 Dynamical Analysis in μxp(1 − x)q for p = 1 and q = 2
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1.5.1 Period-Doubling Bifurcation Analysis for the Map M1,2(μ, x)
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1.6 Dynamical Analysis in μxp(1 − x)q for p = 2 and q = 2
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1.6.1 Period-Doubling Bifurcation Analysis for the Map M2,2(μ, x)
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1.7 Conclusion
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References
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2. A Survey on Evolutionary Clustering Algorithms and Applications
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2.1 Introduction
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2.1.1 What Are the Evolutionary Algorithms?
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2.1.2 Evolutionary Algorithms for Solving Optimization Problems
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2.1.3 Clustering Approaches and Their Categorical Division
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2.2 Literature Survey and Related Work
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2.3 Applications of Evolutionary Clustering Algorithms
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2.3.1 Image Segmentation Using Evolutionary Clustering Algorithms
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2.3.2 Medical and Healthcare Data Clustering Using Evolutionary Clustering Algorithms
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2.3.3 Text Document Clustering Using Evolutionary Clustering Algorithms
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2.4 Performance Evaluation of Evolutionary Clustering Algorithms
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2.5 Conclusion
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References
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3. Solving Linear Fractional Programming Problem Using Revised and Column Simplex Method
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3.1 Introduction
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3.2 Literature Review
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3.3 Methodology
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3.3.1 Definition and Mathematical Formulation of LP and LFP
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3.3.2 Revised Simplex Method for Solving LFP Problem
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3.3.3 Column Simplex Method for Solving LFP Problem
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3.4 Numerical Illustration
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3.4.1 Numerical Examples Based on Revised Simplex Method
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3.4.2 Numerical Examples of Column Simplex Method
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3.5 Comparison and Discussion
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3.6 Conclusion
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References
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4. The Tradeoff in Managing Overall Cost and Backorder Minimization in Two-Stage Multi Commodity Supply Chain Problem
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4.1 Introduction
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4.2 Literary Background
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4.2.1 Indices
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4.2.2 Parameters
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4.2.3 Decision Variables
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4.3 Problem Description and Formulation
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4.3.1 Mathematical Formulation
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4.4 Computational Results and Managerial Insights
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4.5 Conclusion
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References
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5. An Optimization Study on Behavior of Actinide Monochalcogenides at High Pressure
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5.1 Introduction
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5.2 Brief About Optimization in Phase Transition Study
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5.2.1 Reconstructive Type
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5.2.2 Martensitic Type
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5.2.3 Distortive Type
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5.2.4 Structural Phase Transitions
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5.2.5 Pressure-Induced Phase Transitions
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5.3 Method of Calculations
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5.4 Results and Discussion
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5.5 Conclusion
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References
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6. The Dynamics of a Continuous Innovation Diffusion Model with Advertisements as Well as Interpersonal Communications
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6.1 Introduction
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6.2 Mathematical Model
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6.3 Basic Preliminaries
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6.4 Existence of Equilibria and Basic Influence Number
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6.5 Stability Analysis of Various Equilibria
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6.5.1 Stability of Adopter Free Equilibrium Point E0
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6.5.2 Stability of Interior Equilibrium Point E∗
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6.6 Hopf-Bifurcation Analysis
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6.7 Sensitivity Analysis
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6.8 Numerical Simulations
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6.9 Results and Discussion
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6.10 Conclusion
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References
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7. Stochastic Analysis of a Priority-Based Warm Standby System Working under k-out-of-n: G Policy Using Multi-Dimensional Repair
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7.1 Introduction
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7.2 Model Description and Notations
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7.2.1 System Description
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7.2.2 Expectations Aimed for the Model
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7.2.3 Notations
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7.3 System Configuration and State Transition Diagram
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7.4 State Explanation
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7.5 Mathematical Formularizations for the Model
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7.6 Analytical Study
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7.6.1 Availability Analysis
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7.6.2 Reliability of the System
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7.6.3 Mean Time to Failure (MTTF)
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7.6.4 Cost Analysis
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7.7 Conclusion
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References
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8. An Inventory Policy for Increasing Holding Cost under the Effect of Stock-Dependent Deterioration and Partial Backlogging
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8.1 Introduction
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8.2 Assumptions and Notations
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8.3 Model Formulation
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8.4 Model Without Shortages
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8.5 Model with Partial Shortages
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8.6 Optimal Criteria
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8.7 Numerical Illustration
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8.7.1 Illustration for Model Without Shortages
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8.8 Sensitivity Analysis
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8.9 Observations
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8.10 Conclusion
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References
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9. A Fuzzy Inventory Model for Non-Instantaneous Oxidizing Items with a Nonlinear-Hexagonal Fuzzy Number under the Effect of Learning
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9.1 Introduction
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9.2 Literature Review
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9.3 Preliminary Concepts
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9.4 Assumption and Notation
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9.4.1 Assumptions for the Model
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9.5 Mathematical Model in Fuzzy Environment
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9.6 Algorithm for Optimality Criteria
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9.7 Numerical Illustration
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9.8 Sensitivity Analysis
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9.9 Conclusion
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References
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10. Optimal Analysis of Machine Interference Problem with Standby, Random Switching Failure, Vacation Interruption and Synchronized Reneging
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10.1 Introduction
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10.2 Literature Review
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10.3 Model Description and State Probabilities
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10.4 Chapman–Kolmogorov Equation
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10.5 The Steady-State Solution
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10.6 System Performance Measures
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10.6.1 Expected Total Cost
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10.6.2 The Quasi-Newton Method
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10.7 Numerical Results
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10.8 Conclusion
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References
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11. Optimal Cluster Head Election in Industrial WSNs Using the Multi-Objective Genetic Algorithm
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11.1 Introduction
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11.2 Multi-Objective Genetic Algorithm (MOGA)
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11.3 MOGA-based CH Selection
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11.3.1 Set-up Phase
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11.3.2 Steady-State Phase
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11.4 Experiment Results and Discussion
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11.5 Conclusion
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References
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12. Monitoring Social Distancing for Industries and in Public Areas Using Machine Learning
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12.1 Introduction: Background and Driving Forces
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12.2 Literature Review
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12.3 Proposed Methodology
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12.3.1 Object Detection Using YOLO
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12.4 Object Tracking Using OpenCV
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12.4.1 Distance Measurement
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12.5 Outcomes
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12.6 Conclusion
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References
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13. Profit-Maximization Inventory Model with Stock-Dependent Demand
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13.1 Introduction
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13.2 Notations and Assumptions
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13.3 Mathematical Formulation
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13.4 Numerical Examples
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13.5 Sensitivity Analysis
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13.6 Conclusion
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References
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14. Models of Supply Chain Sustainability in Industrial Engineering
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14.1 Introduction
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14.2 Literature Review
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14.3 Research Methodology
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14.4 Hypotheses Tested
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14.5 Research Questions and Objectives
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14.5.1 Analysis of Results
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14.6 Conclusion
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14.7 Appendix
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References
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15. Optimal Stabilization in Chaotic Maps Using Ishikawa Feedback Technique
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15.1 Introduction
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15.2 Preliminaries
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15.3 Chaotic Map in the Ishikawa Feedback Technique
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15.4 Optimal Stabilization in Chaotic Maps
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15.5 Conclusion
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References
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Index
