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.
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1. A Brief Introduction to Nature-inspired Computing, Optimization and Applications Anupam Biswas 2. Overview of Non-linear Interval Optimization Problems Vinay Yadav 3. Solving the Aircraft Landing Problem using the Bee Colony Optimization (BCO) Algorithm Miloš Nikolić, Dusan Teodorovic and Jasenka Rakas 4. Situation-based Genetic Network Programming to Solve Agent Control Problems Mohamad Roshanzamira 5. Small Signal Stability Enhancement of Large Interconnected Power System using Grasshopper Optimization Algorithm Tuned Power System Stabilizer Prasenjit Dey 6. Air Quality Modelling for Smart Cities of India by Nature Inspired AI – A Sustainable Approach Nishant Raj Kapoor 7. Genetic Algorithm for the Optimization of Infectiological Parameter Values under Different Nutritional Status Zakir Hussain 8. A Novel Influencer Mutation Strategy for Nature-inspired Optimization Algorithms to Solve Electricity Price Forecasting Problem Priyanka Singh and Rahul Kottath 9. Recent Trends in Human and Bio Inspired Computing: Use Case Study from Retail Perspective Karthikeyan Vaiapury 10. Domain Knowledge Enriched Summarization of Legal Judgment Documents via Grey Wolf Optimization Deepali Jain, Malaya Dutta Borah and Anupam Biswas 11. Bio-Intelligent computing and optimization techniques for developing computerized solutions Mamatha Gs 12. Optimizing the Feature Selection Methods using a Novel Approach Inspired by the TLBO Algorithm for Student Performance Prediction Suja Jayachandran 13. Applying Evolutionary Methods for the Optimization of an Intrusion Detection System to Detect Anomalies in Network Traffic Flows A.M. Mora 14. Modified Grey Wolf Optimization in user scheduling and antenna selection in MU-MIMO Uplink System Prabina Pattanayak 15. Spectral Efficiency Optimization by the Application of Metaheuristic Optimization Techniques Prabina Pattanayak 16. An effective Genetic Algorithm for Solving Traveling Salesman Problem with Group Theory Rahul Chandra Kushwaha 17. Adaptation of Nature Inspired Optimization Algorithms for Deep Learning Yeshwant Singh 18. Long Short-Term Memory Tuning by Enhanced Harris Hawks Optimization Algorithm for Crude Oil Price Forecasting Nebojsa Bacanin 19. Artificial Neural Network Optimized with PSO to Estimate the Interfacial Properties between FRP and Concrete Surface Aman Kumar 20. Discovering the Characteristic Set of Metaheuristic Algorithm to Adapt with ANFIS Model Shirmohammad Tavangari
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Application specific studies covering nuts and bolts of nature-inspired optimization techniques
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 parameters Comprises some of the major applications of different domains Presents application specific studies, incorporating ways of designing objective functions, solution representation, and constraint handling
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Produktdetaljer

ISBN
9780323957687
Publisert
2024-04-02
Utgiver
Vendor
Academic Press Inc
Vekt
450 gr
Høyde
229 mm
Bredde
152 mm
Aldersnivå
P, 06
Språk
Product language
Engelsk
Format
Product format
Innbundet
Antall sider
562

Om bidragsyterne

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.