Handbook of Intelligent Computing and Optimization for Sustainable Development. Группа авторов

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СКАЧАТЬ href="#ulink_a69736ff-b30f-5782-8d3e-d64ff69db7fd">15.1 Introduction 15.2 Objective of Topic Modeling 15.3 Motivations and Contributions 15.4 Detailed Survey of Research Articles 15.5 Comparison Table of Previous Research 15.6 Expected Future Work 15.7 Conclusion References

      9  Part II OPTIMIZATION 16 ROC Method for Identifying the Optimal Threshold With an Application to Email Classification 16.1 Introduction 16.2 Related Works 16.3 Methodology 16.4 Results and Discussion 16.5 Conclusion References 17 Optimal Inventory System in a Urea Bagging Industry 17.1 Introduction 17.2 Continuous Review Policy 17.3 Inventory Optimization Techniques 17.4 Model Formulation 17.5 Numerical Calculations 17.6 Conclusion References 18 Design of a Mixed Integer Linear Programming Model for Optimization of Supply Chain of a Single Product With Disruption Scenario 18.1 Introduction 18.2 Mixed Integer Programming Methods 18.3 Introduction to Supply Chain Management System 18.4 Mathematical Model Formulation 18.5 Conclusion References 19 Development of Base Tax Liability Insurance Premium Calculator for the South African Construction Industry—A Machine Learning Approach 19.1 Introduction 19.2 Literature Review 19.3 The Aim and Objectives of the Study 19.4 Research Methodology 19.5 Study Results and Discussions 19.6 Conclusions References 20 A 90-Degree Schiffman Phase Shifter and Study of Tunability Using Varactor Diode 20.1 Introduction 20.2 Designing of 90° SPS 20.3 Designing of Tunable Schiffman Phase Shifter 20.4 Major Finding and Limitation 20.5 Conclusion References 21 Optimizing Manufacturing Performance Through Fuzzy Techniques 21.1 Introduction 21.2 Literature Review 21.3 Performance Optimization through Fuzzy Techniques 21.4 Conclusions References 22 Implementation of Non-Linear Inventory Optimization Model for Multiple Products 22.1 Introduction 22.2 Literature Review 22.3 Symbols and Assumptions 22.4 Model Formulation 22.5 Conclusion References

      10  Part III META-HEURISTICS: APPLICATIONS AND INNOVATIONS 23 Pufferfish Optimization Algorithm: A Bioinspired Optimizer 23.1 An Introduction to Optimization 23.2 Optimization and Engineering 23.3 Meta-Heuristic Optimization 23.4 Torquigener Albomaculosus 23.5 Pufferfish and Circular Structures 23.6 Results 23.7 Conclusion References 24 A Hybrid Grey Wolf Optimizer and Sperm Swarm Optimization for Global Optimization 24.1 Introduction 24.2 Background on Sperm Swarm Optimization (SSO) and Grey Wolf Optimizer (GWO) 24.3 Hybrid Grey Wolf Optimizer and Sperm Swarm Optimization (HGWOSSO) 24.4 Experiments and Results 24.5 СКАЧАТЬ