Applications of Advanced Optimization Techniques in Industrial Engineering

Cover\nHalf Title\nSeries Page\nTitle Page\nCopyright Page\nTable of Contents\nEditors\nContributors\nChapter 1: Dynamical Analysis in Modulated Logistic Maps\n	1.1 Introduction\n	1.2 Preliminaries\n	1.3 Modulated Logistic Maps\n	1.4 Dynamical Analysis in μx p (1 − x) q for p = 2 and q = 1\n		1.4.1 Period-Doubling Bifurcation Analysis for the Map M 2,1 ( μ, x)\n	1.5 Dynamical Analysis in μx p (1 − x) q for p = 1 and q = 2\n		1.5.1 Period-Doubling Bifurcation Analysis for the Map M 1, 2 ( μ, x)\n	1.6 Dynamical Analysis in μx p (1 − x) q for p = 2 and q = 2\n		1.6.1 Period-Doubling Bifurcation Analysis for the Map M 2,2 ( μ, x)\n	1.7 Conclusion\n	References\nChapter 2: A Survey on Evolutionary Clustering Algorithms and Applications\n	2.1 Introduction\n		2.1.1 What Are the Evolutionary Algorithms?\n		2.1.2 Evolutionary Algorithms for Solving Optimization Problems\n		2.1.3 Clustering Approaches and Their Categorical Division\n	2.2 Literature Survey and Related Work\n	2.3 Applications of Evolutionary Clustering Algorithms\n		2.3.1 Image Segmentation Using Evolutionary Clustering Algorithms\n		2.3.2 Medical and Healthcare Data Clustering Using Evolutionary Clustering Algorithms\n		2.3.3 Text Document Clustering Using Evolutionary Clustering Algorithms\n	2.4 Performance Evaluation of Evolutionary Clustering Algorithms\n	2.5 Conclusion\n	References\nChapter 3: Solving Linear Fractional Programming Problem Using Revised and Column Simplex Method\n	3.1 Introduction\n	3.2 Literature Review\n	3.3 Methodology\n		3.3.1 Definition and Mathematical Formulation of LP and LFP\n		3.3.2 Revised Simplex Method for Solving LFP Problem\n		3.3.3 Column Simplex Method for Solving LFP Problem\n	3.4 Numerical Illustration\n		3.4.1 Numerical Examples Based on Revised Simplex Method\n		3.4.2 Numerical Examples of Column Simplex Method\n	3.5 Comparison and Discussion\n	3.6 Conclusion\n	References\nChapter 4: The Tradeoff in Managing Overall Cost and Backorder Minimization in Two-Stage Multi Commodity Supply Chain Problem\n	4.1 Introduction\n	4.2 Literary Background\n		4.2.1 Indices\n		4.2.2 Parameters\n		4.2.3 Decision Variables\n	4.3 Problem Description and Formulation\n		4.3.1 Mathematical Formulation\n	4.4 Computational Results and Managerial Insights\n	4.5 Conclusion\n	References\nChapter 5: An Optimization Study on Behavior of Actinide Monochalcogenides at High Pressure\n	5.1 Introduction\n	5.2 Brief About Optimization in Phase Transition Study\n		5.2.1 Reconstructive Type\n		5.2.2 Martensitic Type\n		5.2.3 Distortive Type\n		5.2.4 Structural Phase Transitions\n		5.2.5 Pressure-Induced Phase Transitions\n	5.3 Method of Calculations\n	5.4 Results and Discussion\n	5.5 Conclusion\n	References\nChapter 6: The Dynamics of a Continuous Innovation Diffusion Model with Advertisements as Well as Interpersonal Communications\n	6.1 Introduction\n	6.2 Mathematical Model\n	6.3 Basic Preliminaries\n	6.4 Existence of Equilibria and Basic Influence Number\n	6.5 Stability Analysis of Various Equilibria\n		6.5.1 Stability of Adopter Free Equilibrium Point E 0\n		6.5.2 Stability of Interior Equilibrium Point E ∗\n	6.6 Hopf-Bifurcation Analysis\n	6.7 Sensitivity Analysis\n	6.8 Numerical Simulations\n	6.9 Results and Discussion\n	6.10 Conclusion\n	References\nChapter 7: Stochastic Analysis of a Priority-Based Warm Standby System Working under k-out-of-n: G Policy Using Multi-Dimensional Repair\n	7.1 Introduction\n	7.2 Model Description and Notations\n		7.2.1 System Description\n		7.2.2 Expectations Aimed for the Model\n		7.2.3 Notations\n	7.3 System Configuration and State Transition Diagram\n	7.4 State Explanation\n	7.5 Mathematical Formularizations for the Model\n	7.6 Analytical Study\n		7.6.1 Availability Analysis\n		7.6.2 Reliability of the System\n		7.6.3 Mean Time to Failure (MTTF)\n		7.6.4 Cost Analysis\n	7.7 Conclusion\n	References\nChapter 8: An Inventory Policy for Increasing Holding Cost under the Effect of Stock-Dependent Deterioration and Partial Backlogging\n	8.1 Introduction\n	8.2 Assumptions and Notations\n	8.3 Model Formulation\n	8.4 Model Without Shortages\n	8.5 Model with Partial Shortages\n	8.6 Optimal Criteria\n	8.7 Numerical Illustration\n		8.7.1 Illustration for Model Without Shortages\n	8.8 Sensitivity Analysis\n	8.9 Observations\n	8.10 Conclusion\n	References\nChapter 9: A Fuzzy Inventory Model for Non-Instantaneous Oxidizing Items with a Nonlinear-Hexagonal Fuzzy Number under the Effect of Learning\n	9.1 Introduction\n	9.2 Literature Review\n	9.3 Preliminary Concepts\n	9.4 Assumption and Notation\n		9.4.1 Assumptions for the Model\n	9.5 Mathematical Model in Fuzzy Environment\n	9.6 Algorithm for Optimality Criteria\n	9.7 Numerical Illustration\n	9.8 Sensitivity Analysis\n	9.9 Conclusion\n	References\nChapter 10: Optimal Analysis of Machine Interference Problem with Standby, Random Switching Failure, Vacation Interruption and Synchronized Reneging\n	10.1 Introduction\n	10.2 Literature Review\n	10.3 Model Description and State Probabilities\n	10.4 Chapman–Kolmogorov Equation\n	10.5 The Steady-State Solution\n	10.6 System Performance Measures\n		10.6.1 Expected Total Cost\n		10.6.2 The Quasi-Newton Method\n	10.7 Numerical Results\n	10.8 Conclusion\n	References\nChapter 11: Optimal Cluster Head Election in Industrial WSNs Using the Multi-Objective Genetic Algorithm\n	11.1 Introduction\n	11.2 Multi-Objective Genetic Algorithm (MOGA)\n	11.3 MOGA-based CH Selection\n		11.3.1 Set-up Phase\n		11.3.2 Steady-State Phase\n	11.4 Experiment Results and Discussion\n	11.5 Conclusion\n	References\nChapter 12: Monitoring Social Distancing for Industries and in Public Areas Using Machine Learning\n	12.1 Introduction: Background and Driving Forces\n	12.2 Literature Review\n	12.3 Proposed Methodology\n		12.3.1 Object Detection Using YOLO\n	12.4 Object Tracking Using OpenCV\n		12.4.1 Distance Measurement\n	12.5 Outcomes\n	12.6 Conclusion\n	References\nChapter 13: Profit-Maximization Inventory Model with Stock-Dependent Demand\n	13.1 Introduction\n	13.2 Notations and Assumptions\n	13.3 Mathematical Formulation\n	13.4 Numerical Examples\n	13.5 Sensitivity Analysis\n	13.6 Conclusion\n	References\nChapter 14: Models of Supply Chain Sustainability in Industrial Engineering\n	14.1 Introduction\n	14.2 Literature Review\n	14.3 Research Methodology\n	14.4 Hypotheses Tested\n	14.5 Research Questions and Objectives\n		14.5.1 Analysis of Results\n	14.6 Conclusion\n	References\nChapter 15: Optimal Stabilization in Chaotic Maps Using Ishikawa Feedback Technique\n	15.1 Introduction\n	15.2 Preliminaries\n	15.3 Chaotic Map in the Ishikawa Feedback Technique\n	15.4 Optimal Stabilization in Chaotic Maps\n	15.5 Conclusion\n	References\nIndex