Applications of Nature-Inspired Computing and Optimization Techniques

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. Includes algorithm specific studies that cover basic introduction and analysis of key components of algorithms, such as convergence, solution accuracy, computational costs, tuning, and control of parametersComprises some of the major applications of different domainsPresents application specific studies, incorporating ways of designing objective functions, solution representation, and constraint handling INDICE: 1. A Brief Introduction to Nature-inspired Computing, Optimization and ApplicationsAnupam Biswas2. Overview of Non-linear Interval Optimization ProblemsVinay Yadav3. Solving the Aircraft Landing Problem using the Bee Colony Optimization (BCO) AlgorithmMilos Nikolic, Dusan Teodorovic and Jasenka Rakas4. Situation-based Genetic Network Programming to Solve Agent Control ProblemsMohamad Roshanzamira5. Small Signal Stability Enhancement of Large Interconnected Power System using Grasshopper Optimization Algorithm Tuned Power System StabilizerPrasenjit Dey6. Air Quality Modelling for Smart Cities of India by Nature Inspired AI - A Sustainable ApproachNishant Raj Kapoor7. Genetic Algorithm for the Optimization of Infectiological Parameter Values under Different Nutritional StatusZakir Hussain8. A Novel Influencer Mutation Strategy for Nature-inspired Optimization Algorithms to Solve Electricity Price Forecasting ProblemPriyanka Singh and Rahul Kottath9. Recent Trends in Human and Bio Inspired Computing: Use Case Study from Retail PerspectiveKarthikeyan Vaiapury10. Domain Knowledge Enriched Summarization of Legal Judgment Documents via Grey Wolf OptimizationDeepali Jain, Malaya Dutta Borah and Anupam Biswas11. Bio-Intelligent computing and optimization techniques for developing computerized solutionsMamatha Gs12. Optimizing the Feature Selection Methods using a Novel Approach Inspired by the TLBO Algorithm for Student Performance PredictionSuja Jayachandran13. Applying Evolutionary Methods for the Optimization of an Intrusion Detection System to Detect Anomalies in Network Traffic FlowsA.M. Mora14. Modified Grey Wolf Optimization in user scheduling and antenna selection in MU-MIMO Uplink SystemPrabina Pattanayak15. Spectral Efficiency Optimization by the Application of Metaheuristic Optimization TechniquesPrabina Pattanayak16. An effective Genetic Algorithm for Solving Traveling Salesman Problem with Group TheoryRahul Chandra Kushwaha17. Adaptation of Nature Inspired Optimization Algorithms for Deep LearningYeshwant Singh18. Long Short-Term Memory Tuning by Enhanced Harris Hawks Optimization Algorithm for Crude Oil Price ForecastingNebojsa Bacanin19. Artificial Neural Network Optimized with PSO to Estimate the Interfacial Properties between FRP and Concrete SurfaceAman Kumar20. Discovering the Characteristic Set of Metaheuristic Algorithm to Adapt with ANFIS ModelShirmohammad Tavangari

• ISBN: 978-0-323-95768-7
• Editorial: Academic Press
• Encuadernacion: Cartoné
• Páginas: 562
• Fecha Publicación: 02/04/2024
• Nº Volúmenes: 1
• Idioma: