Advances in Computers, Volume 135 highlights advances in the field, with this new volume, Applications of Nature-inspired Computing and Optimization Techniques presenting interesting chapters on a variety of timely topics, including A Brief Introduction to Nature-inspired Computing, Optimization and Applications, Overview of Non-linear Interval Optimization Problems, Solving the Aircraft Landing Problem using the Bee Colony Optimization (BCO) Algorithm, Situation-based Genetic Network Programming to Solve Agent Control Problems, Small Signal Stability Enhancement of Large Interconnected Power System using Grasshopper Optimization Algorithm Tuned Power System Stabilizer, Air Quality Modelling for Smart Cities of India by Nature Inspired AI – A Sustainable Approach, and much more.
Other sections cover Genetic Algorithm for the Optimization of Infectiological Parameter Values under Different Nutritional Status, A Novel Influencer Mutation Strategy for Nature-inspired Optimization Algorithms to Solve Electricity Price Forecasting Problem, Recent Trends in Human and Bio Inspired Computing: Use Case Study from Retail Perspective, Domain Knowledge Enriched Summarization of Legal Judgment Documents via Grey Wolf Optimization, and a host of other topics.
1. Chapter One: A brief introduction to nature-inspired computing, optimization, and applications - p. 1 2. Part I: Controller and power systems - p. 18 3. Chapter Two: Overview of nonlinear interval optimization problems - p. 21 4. Abstract - p. 21 5. 1 Introduction - p. 22 6. 2 Interval analysis - p. 23 7. 3 Existing approaches for solving nonlinear interval optimization problem - p. 24 8. 4 Conclusions - p. 46 9. References - p. 46 10. Chapter Three: Solving the aircraft landing problem using the bee colony optimization (BCO) algorithm - p. 68 11. Chapter Four: Situation-based genetic network programming to solve agent control problems - p. 77 12. Chapter Five: Small signal stability enhancement of large interconnected power system using grasshopper optimization algorithm tuned power system stabilizer - p. 99 13. Part II: Ecological and economic systems - p. 125 14. Chapter Six: Air quality modeling for smart cities of India by nature inspired AI—A sustainable approach - p. 129 15. Chapter Seven: Genetic algorithm for the optimization of infectiological parameter values under different nutritional status - p. 155 16. Chapter Eight: A novel influencer mutation strategy for nature-inspired optimization algorithms to solve electricity price forecasting problem - p. 192 17. Chapter Nine: Recent trends in human- and bioinspired computing: Use-case study from a retail perspective - p. 211 18. Part III: Information and computational systems - p. 229 19. Chapter Ten: Domain knowledge-enriched summarization of legal judgment documents via grey wolf optimization - p. 244 20. Chapter Eleven: Bio-intelligent computing and optimization techniques for developing computerized solutions - p. 259 21. Chapter Twelve: Optimizing the feature selection methods using a novel approach inspired by the TLBO algorithm for student performance prediction - p. 300 22. Part IV: Communication and networking systems - p. 308 23. Chapter Thirteen: Applying evolutionary methods for the optimization of an intrusion detection system to detect anomalies in network traffic flows - p. 313 24. Chapter Fourteen: Modified grey wolf optimization in user scheduling and antenna selection in MU-MIMO uplink system - p. 361 25. Chapter Fifteen: Spectral efficiency optimization by the application of metaheuristic optimization techniques - p. 377 26. Chapter Sixteen: An effective genetic algorithm for solving traveling salesman problem with group theory - p. 407 27. Part V: Deep learning and neural networking systems - p. 413 28. Chapter Seventeen: Adaptation of nature inspired optimization algorithms for deep learning - p. 440 29. Chapter Eighteen: Long short-term memory tuning by enhanced Harris hawks optimization algorithm for crude oil price forecasting - p. 477 30. Chapter Nineteen: Artificial neural network optimized with PSO to estimate the interfacial properties between FRP and concrete surface - p. 497 31. Chapter Twenty: Discovering the characteristic set of metaheuristic algorithm to adapt with ANFIS model - p. 540
Advances in Computers, Volume 135 highlights advances in the field, with this new volume, Applications of Nature-inspired Computing and Optimization Techniques presenting interesting chapters on a variety of timely topics, including A Brief Introduction to Nature-inspired Computing, Optimization and Applications, Overview of Non-linear Interval Optimization Problems, Solving the Aircraft Landing Problem using the Bee Colony Optimization (BCO) Algorithm, Situation-based Genetic Network Programming to Solve Agent Control Problems, Small Signal Stability Enhancement of Large Interconnected Power System using Grasshopper Optimization Algorithm Tuned Power System Stabilizer, Air Quality Modelling for Smart Cities of India by Nature Inspired AI – A Sustainable Approach, and much more.
Other sections cover Genetic Algorithm for the Optimization of Infectiological Parameter Values under Different Nutritional Status, A Novel Influencer Mutation Strategy for Nature-inspired Optimization Algorithms to Solve Electricity Price Forecasting Problem, Recent Trends in Human and Bio Inspired Computing: Use Case Study from Retail Perspective, Domain Knowledge Enriched Summarization of Legal Judgment Documents via Grey Wolf Optimization, and a host of other topics.
1. Chapter One: A brief introduction to nature-inspired computing, optimization, and applications - p. 1 2. Part I: Controller and power systems - p. 18 3. Chapter Two: Overview of nonlinear interval optimization problems - p. 21 4. Abstract - p. 21 5. 1 Introduction - p. 22 6. 2 Interval analysis - p. 23 7. 3 Existing approaches for solving nonlinear interval optimization problem - p. 24 8. 4 Conclusions - p. 46 9. References - p. 46 10. Chapter Three: Solving the aircraft landing problem using the bee colony optimization (BCO) algorithm - p. 68 11. Chapter Four: Situation-based genetic network programming to solve agent control problems - p. 77 12. Chapter Five: Small signal stability enhancement of large interconnected power system using grasshopper optimization algorithm tuned power system stabilizer - p. 99 13. Part II: Ecological and economic systems - p. 125 14. Chapter Six: Air quality modeling for smart cities of India by nature inspired AI—A sustainable approach - p. 129 15. Chapter Seven: Genetic algorithm for the optimization of infectiological parameter values under different nutritional status - p. 155 16. Chapter Eight: A novel influencer mutation strategy for nature-inspired optimization algorithms to solve electricity price forecasting problem - p. 192 17. Chapter Nine: Recent trends in human- and bioinspired computing: Use-case study from a retail perspective - p. 211 18. Part III: Information and computational systems - p. 229 19. Chapter Ten: Domain knowledge-enriched summarization of legal judgment documents via grey wolf optimization - p. 244 20. Chapter Eleven: Bio-intelligent computing and optimization techniques for developing computerized solutions - p. 259 21. Chapter Twelve: Optimizing the feature selection methods using a novel approach inspired by the TLBO algorithm for student performance prediction - p. 300 22. Part IV: Communication and networking systems - p. 308 23. Chapter Thirteen: Applying evolutionary methods for the optimization of an intrusion detection system to detect anomalies in network traffic flows - p. 313 24. Chapter Fourteen: Modified grey wolf optimization in user scheduling and antenna selection in MU-MIMO uplink system - p. 361 25. Chapter Fifteen: Spectral efficiency optimization by the application of metaheuristic optimization techniques - p. 377 26. Chapter Sixteen: An effective genetic algorithm for solving traveling salesman problem with group theory - p. 407 27. Part V: Deep learning and neural networking systems - p. 413 28. Chapter Seventeen: Adaptation of nature inspired optimization algorithms for deep learning - p. 440 29. Chapter Eighteen: Long short-term memory tuning by enhanced Harris hawks optimization algorithm for crude oil price forecasting - p. 477 30. Chapter Nineteen: Artificial neural network optimized with PSO to estimate the interfacial properties between FRP and concrete surface - p. 497 31. Chapter Twenty: Discovering the characteristic set of metaheuristic algorithm to adapt with ANFIS model - p. 540
