Applications of Nature-Inspired Computing and Optimization Techniques (Volume 135) (Advances in Computers, Volume 135) - Hardcover

Hardcover

ISBN 10: 0323957684 ISBN 13: 9780323957687

Publisher: Academic Press, 2024

Synopsis

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 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

About this title

About the Authors

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.

From the Back Cover

Advances in Computers highlights new advances in the field, with this new volume Applications of Nature-inspired Computing and Optimization Techniques presenting interesting chapters. Each chapter is written by an international board of authors.

Applications of nature-inspired optimization algorithms have grown manifold in recent years covering interdisciplinary application domains of engineering and science disciplines. This book comprises five major domains, which include Controller and Power Systems, Ecological and Economic Systems, Information and Computational Systems, Communication and Networking Systems, and Deep Learning and Neural Networking Systems. The book primarily focuses on the practical challenges that are faced while applying nature-inspired algorithms to different problems in these domains, which include the feasibility of the problem, control parameters and constraints, representation of the solution space, and design of the objective function.

Edition details

• Publisher: Academic Press
• Publication date: 2024
• Language: English
• ISBN 10: 0323957684
• ISBN 13: 9780323957687
• Binding: Hardcover
• Edition number: 1
• Number of pages: 562
• Editor: Biswas Anupam, Tonda Alberto Paolo, Patgiri Ripon, Mishra Krishn Kumar