Optimization Techniques and Applications
portes grátis
Optimization Techniques and Applications
SocProS 2025, Roorkee, India, February 24-26
Deep, Kusum; Pant, Millie; Nagar, Atulya K.
Springer Verlag, Singapore
04/2026
375
Dura
Inglês
9789819550432
Pré-lançamento - envio 15 a 20 dias após a sua edição
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Chapter 1. Rayleigh Wave in Nonlocal Fractional Order Thermoelastic Solid Half Space under Hydrostatic Initial Stress.- Chapter 2. MSD-YOLOViT10: Optimized Underwater Marine Species Detector.- Chapter 3. Leveraging Machine Learning to Optimize Financial Markets.- Chapter 4. Development of a Robust Multispectrum Surveillance System Using Geman McClure Norm Based Fractional Order Variational Optical Flow Model.- Chapter 5. Analysis for an unreliable retrial queueing system under threshold-based recovery using ANFIS approach.- Chapter 6. Adaptive Learning EJaya for Constrained Optimization Problem.- Chapter 7. Efficient Multi-Objective Particle Swarm Optimization for Noisy Environments.- Chapter 8. Defending NLPP Solution Approaches: A Rebuttal to Bhatia et al. (2022) "Mehar approach to solve neutrosophic linear programming problems using possibilistic mean".- Chapter 9. Generalized probabilistic hesitant fuzzy aggregation operator based MCDM method to evaluate water quality.- Chapter 10. Multi-Item Substitutable Inventory Model for Green and Regular Products with Environmental Sustainability under Inflationary Environment.- Chapter 11. Solvability of Abstract Second-Order Differential Systems with State-Driven Delays.- Chapter 12. Improved TLBO: A Novel Approach for Solving Complex Optimization Problems.- Chapter 13. Genetic Algorithm Integrated DEA for Academic Assessment of a Higher Education Institution.- Chapter 14. An Improved Fuzzy Clustering Technique for Nucleus Segmentation.- Chapter 15. Set pair analysis based algorithm for IVIF decision-making with mean and variance.- Chapter 16. ANFIS Simulation and Particle Swarm Optimization for Finite-Capacity Two-Stage Service Queueing Model.- Chapter 17. Controllability of third-order delayed integrodifferential systems: a fixed-point theorem based result.- Chapter 18. Fake News Detection Using Machine Learning with Particle Swarm Optimization-Based Feature Selection.- Chapter 19. University Course Timetabling Planning using Hybrid Gazelle Algorithms.- Chapter 20. Optimizing Test Case Selection Using Reinforcement Learning in Regression Testing.- Chapter 21. Approximate Analytical Solution of (1+1)-dimensional Kaup system and Sawada-Kotera-Ito Seventh-order KdV equation by RDTM.- Chapter 22. Optimizing EOQ model for Time-Deteriorating Items under Carbon Emission and Learning Effect with Partial Backlogging.- Chapter 23. The Conserved vectors and Invariance analysis of the (2+1) extended Boiti-Leon-Manna-Pempinelli equation through the Lie group theoretic approach.- Chapter 24. On the Relationship between Strong p-Cesaro Summability and Convergence of Statistical Means.- Chapter 25. Unconstrained Real-Life Problems Optimization using Revised Differential Evolution Algorithm.- Chapter 26. Metaheuristic PSO variants in WSN: A Comparative Study.- Chapter 27. Optimizing Resource Allocation and Network Slicing for Time-Sensitive Applications in 5G Edge Networks.- Chapter 28. Commentary on: "A multi-objective transportation problem under quantity dependent credit period and cost structure policies in triangular intuitionistic fuzzy environment".- Chapter 29. Probabilistic Risk Analysis Using Monte Carlo Simulation for Metro Rail Construction.- Chapter 30. Investigating Barriers to Green Building Adoption in Gujarat, India- A Correlation-Graph Analysis Approach.- Chapter 31. Constrained Teaching Learning Algorithm for Economic Load Dispatch Problem.- Chapter 32. A Survey of Predictive Electric Vision Systems Using Deep Learning for Energy Optimization.- Chapter 33. Approximate Equalities Based on Rough Neutrosophic Set with Their Analysis.
Este título pertence ao(s) assunto(s) indicados(s). Para ver outros títulos clique no assunto desejado.
optimization;applicatons of mathematics;machine learning;probability theory;rough neutrosophic set;deep learning;energy optimization;green building;SDG 7;Monte-Carlo simulation;metro rail construction;smart home;SocProS 2025;metaheuristic PSO;carbon emission;Kaup system;hybrid gazelle algorithms;fake news;nucleus segmentation ;genetic algorithm
Chapter 1. Rayleigh Wave in Nonlocal Fractional Order Thermoelastic Solid Half Space under Hydrostatic Initial Stress.- Chapter 2. MSD-YOLOViT10: Optimized Underwater Marine Species Detector.- Chapter 3. Leveraging Machine Learning to Optimize Financial Markets.- Chapter 4. Development of a Robust Multispectrum Surveillance System Using Geman McClure Norm Based Fractional Order Variational Optical Flow Model.- Chapter 5. Analysis for an unreliable retrial queueing system under threshold-based recovery using ANFIS approach.- Chapter 6. Adaptive Learning EJaya for Constrained Optimization Problem.- Chapter 7. Efficient Multi-Objective Particle Swarm Optimization for Noisy Environments.- Chapter 8. Defending NLPP Solution Approaches: A Rebuttal to Bhatia et al. (2022) "Mehar approach to solve neutrosophic linear programming problems using possibilistic mean".- Chapter 9. Generalized probabilistic hesitant fuzzy aggregation operator based MCDM method to evaluate water quality.- Chapter 10. Multi-Item Substitutable Inventory Model for Green and Regular Products with Environmental Sustainability under Inflationary Environment.- Chapter 11. Solvability of Abstract Second-Order Differential Systems with State-Driven Delays.- Chapter 12. Improved TLBO: A Novel Approach for Solving Complex Optimization Problems.- Chapter 13. Genetic Algorithm Integrated DEA for Academic Assessment of a Higher Education Institution.- Chapter 14. An Improved Fuzzy Clustering Technique for Nucleus Segmentation.- Chapter 15. Set pair analysis based algorithm for IVIF decision-making with mean and variance.- Chapter 16. ANFIS Simulation and Particle Swarm Optimization for Finite-Capacity Two-Stage Service Queueing Model.- Chapter 17. Controllability of third-order delayed integrodifferential systems: a fixed-point theorem based result.- Chapter 18. Fake News Detection Using Machine Learning with Particle Swarm Optimization-Based Feature Selection.- Chapter 19. University Course Timetabling Planning using Hybrid Gazelle Algorithms.- Chapter 20. Optimizing Test Case Selection Using Reinforcement Learning in Regression Testing.- Chapter 21. Approximate Analytical Solution of (1+1)-dimensional Kaup system and Sawada-Kotera-Ito Seventh-order KdV equation by RDTM.- Chapter 22. Optimizing EOQ model for Time-Deteriorating Items under Carbon Emission and Learning Effect with Partial Backlogging.- Chapter 23. The Conserved vectors and Invariance analysis of the (2+1) extended Boiti-Leon-Manna-Pempinelli equation through the Lie group theoretic approach.- Chapter 24. On the Relationship between Strong p-Cesaro Summability and Convergence of Statistical Means.- Chapter 25. Unconstrained Real-Life Problems Optimization using Revised Differential Evolution Algorithm.- Chapter 26. Metaheuristic PSO variants in WSN: A Comparative Study.- Chapter 27. Optimizing Resource Allocation and Network Slicing for Time-Sensitive Applications in 5G Edge Networks.- Chapter 28. Commentary on: "A multi-objective transportation problem under quantity dependent credit period and cost structure policies in triangular intuitionistic fuzzy environment".- Chapter 29. Probabilistic Risk Analysis Using Monte Carlo Simulation for Metro Rail Construction.- Chapter 30. Investigating Barriers to Green Building Adoption in Gujarat, India- A Correlation-Graph Analysis Approach.- Chapter 31. Constrained Teaching Learning Algorithm for Economic Load Dispatch Problem.- Chapter 32. A Survey of Predictive Electric Vision Systems Using Deep Learning for Energy Optimization.- Chapter 33. Approximate Equalities Based on Rough Neutrosophic Set with Their Analysis.
Este título pertence ao(s) assunto(s) indicados(s). Para ver outros títulos clique no assunto desejado.
optimization;applicatons of mathematics;machine learning;probability theory;rough neutrosophic set;deep learning;energy optimization;green building;SDG 7;Monte-Carlo simulation;metro rail construction;smart home;SocProS 2025;metaheuristic PSO;carbon emission;Kaup system;hybrid gazelle algorithms;fake news;nucleus segmentation ;genetic algorithm
