Fuzzy Optimization Techniques in the Areas of Science and Management (Computational Intelligence in Engineering Problem Solving)

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Fuzzy Optimization Techniques in the Areas of Science and Management (Computational Intelligence in Engineering Problem Solving)

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  • 製本 Paperback:紙装版/ペーパーバック版/ページ数 196 p.
  • 言語 ENG
  • 商品コード 9781032343471
  • DDC分類 003

Full Description

This book helps to enhance the application of fuzzy logic optimization in the areas of science and engineering. It includes implementation and models and paradigms, such as path planning and routing design for different wireless networks, organization behavior strategies models, and so forth. It also:




Explains inventory control management, uncertainties management, loss minimization, game optimization, data analysis and prediction, different decision-making




system and management, and so forth




Describes applicability of fuzzy optimization techniques in areas of science and management



Resolves several issues based on uncertainty using member function



Helps map different problems based on mathematical models



Includes issues and problems based on linear and nonlinear optimizations



Focuses on management science such as manpower management and inventory planning

This book is aimed at researchers and graduate students in signal processing, power systems, systems and industrial engineering, and computer networks.

Contents

Section 1 Energy Resources Management 1. Routing Recovery Protocol for Wireless Sensor Network Based on PSO-ACO and Neural Network 2. Fuzzy Inference-Based Optimal Route-Selection Technique in Wireless Ad Hoc Network 3. Fuzzy-Based Mathematical Model for Optimizing Network Lifetime in MANET Section 2 Modelling and Aggregation 4. Game Theory-Based Conflicting Strategy Management Technique in Wireless Sensor Network 5. Cluster-Based Routing Protocol for WSN Using Fusion of Swarm Intelligence and Neural Network 6. Nonlinear Fuzzy Optimization Technique for WSN Based on Quadratic Programming Section 3 Data Analysis and Prediction 7. A Review Based on Prediction Analysis to Mitigate the Issues of COVID-19 8. Data Analysis and Prediction for WSN Based on Linear and Quadratic Optimization Techniques 9. Machine Learning-Based Data Analysis for Managing Challenges of COVID-19: A Survey 10. Fuzzy Geometric-Based Cost-Optimization Technique for Company

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