Applications of Nature-Inspired Computing and Optimization Techniques by Anupam

Description: FREE SHIPPING UK WIDE Applications of Nature-Inspired Computing and Optimization Techniques by Anupam Biswas, Alberto Paolo Tonda, Ripon Patgiri, Krishn Kumar Mishra 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. FORMAT Hardcover CONDITION Brand New Author Biography Assistant Professor Anupam Biswas works in Computer Science and Engineering at the National Institute of Technology Silchar, Silchar, Assam, India. Dr Alberto Paolo Tonda is a Permanent Researcher (CRCN) at the National Institute of Research for Agriculture and Environment (INRAE), and Université Paris-Saclay, Paris, France. His research interests include semi-supervised modeling of complex systems, evolutionary optimization and machine learning, with applications in food science and biology. He led the COST Action CA15118 FoodMC, a 4-year European networking project on in-silico modelling in food science. He has been program committee of International conferences including the International Genetic and Evolutionary Computation Conference (GECCO, 2013-2020), the European Conference on Evolutionary Computation (EvoStar, 2010-2020), the Bi-annual Conference on Artificial Evolution (EA, 2013-2019),and Nature Inspired Cooperative Strategies for Optimization (NICSO, 2011). He is currently an editorial board member of the Journal of Genetic Programming and Evolvable Machines. He received his Ph.D. degree in Computer Science Engineering from Politecnico di Torino, Italy.Dr. Ripon Patgiri is an Assistant Professor at the Department of Computer Science & Engineering, National Institute of Technology Silchar, since 2013. His research interests include bloom filters, storage systems, security, and cryptography computing. He has published numerous papers in reputed journals, conferences, and books. Also, he has been awarded with several international patents. He is a senior member of IEEE. He was the General Chair of ICACNI 2018 and BigDML 2019. He is the Organizing Chair of FRSM 2020 and ADCOM 2020. Also, he is the Program Chair of CoMSO 2020, CoMSO 2021, and CoMSO 2022. He is also an editor of several multi-authored books. Moreover, he has received two research project fundings from SERB and DST, India. Dr Krishn Kumar Mishra is Assistant Professor in the Department of Computer Science and Engineering, Motilal Nehru National Institute of Technology Allahabad(MNNIT), Prayagraj, Bharat. His research interests include Genetic Algorithm, Analysis of Algorithm, Automata Theory, Microprocessor and Multi-objective Optimization. He has successfully organized IEEE conferences in Bharat (the ICCCT Series) as a conference secretary and has worked as a program chair and PC member. He has also successfully organized special journal issues. He is a regular reviewer of Journal of Supercomputing, Applied Intelligence,Applied Soft Computing, IEEE Transaction on Cybernetics, Neural computing and application and IEEE System Journal. He received his Doctor of Philosophy from Motilal Nehru National Institute of Technology, Allahabad, Bharat. Table of Contents 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) AlgorithmMiloš 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 Details ISBN0323957684 Author Krishn Kumar Mishra Publisher Elsevier Science & Technology Year 2024 ISBN-13 9780323957687 Format Hardcover Imprint Academic Press Inc Place of Publication Oxford Country of Publication United Kingdom Alternative 9780323957694 Audience Professional & Vocational Pages 562 DEWEY 004 Publication Date 2024-04-02 UK Release Date 2024-04-02 NZ Release Date 2024-04-30 ISBN-10 0323957684 AU Release Date 2024-04-30 Series Advances in Computers We've got this At The Nile, if you're looking for it, we've got it. With fast shipping, low prices, friendly service and well over a million items - you're bound to find what you want, at a price you'll love! 30 DAY RETURN POLICY No questions asked, 30 day returns! FREE DELIVERY No matter where you are in the UK, delivery is free. 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