Applications of Nature-Inspired Computing and Optimization Techniques
- 1st Edition, Volume 135 - April 2, 2024
- Imprint: Academic Press
- Editors: Anupam Biswas, Alberto Paolo Tonda, Ripon Patgiri, Krishn Kumar Mishra
- Language: English
- Hardback ISBN:9 7 8 - 0 - 3 2 3 - 9 5 7 6 8 - 7
- eBook ISBN:9 7 8 - 0 - 3 2 3 - 9 5 7 6 9 - 4
Advances in Computers, Volume 135 highlights advances in the field, with this new volume, Applications of Nature-inspired Computing and Optimization Techniques presenting intere… Read more
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Request a sales quoteAdvances 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.
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
Researchers, academicians and PhD students
- Cover image
- Title page
- Table of Contents
- Copyright
- Contributors
- Chapter One A brief introduction to nature-inspired computing, optimization, and applications
- Abstract
- 1 Optimization problems
- 2 Nature-inspired optimization techniques
- 3 Application areas
- 4 Concluding remarks
- References
- Part I: Controller and power systems
- Chapter Two Overview of nonlinear interval optimization problems
- Abstract
- 1 Introduction
- 2 Interval analysis
- 3 Existing approaches for solving nonlinear interval optimization problem
- 4 Conclusions
- References
- Chapter Three Solving the aircraft landing problem using the bee colony optimization (BCO) algorithm
- Abstract
- 1 Introduction
- 2 Problem statement
- 3 The BCO metaheuristic for the aircraft landing problem
- 4 Numerical experiments
- 5 Conclusions
- Acknowledgments
- References
- Chapter Four Situation-based genetic network programming to solve agent control problems
- Abstract
- 1 Introduction
- 2 Related works
- 3 GNP algorithm
- 4 Proposed algorithm
- 5 Experimental results
- 6 Discussion
- 7 Conclusion and future works
- References
- Chapter Five Small signal stability enhancement of large interconnected power system using grasshopper optimization algorithm tuned power system stabilizer
- Abstract
- 1 Introduction
- 2 Power system mathematical model
- 3 Power system stabilizer
- 4 Objective functions (OF)
- 5 Grasshopper optimization algorithm (GOA)
- 6 Analysis of results
- 7 Conclusion and future scopes
- References
- Part II: Ecological and economic systems
- Chapter Six Air quality modeling for smart cities of India by nature inspired AI—A sustainable approach
- Abstract
- 1 Introduction
- 2 Related work
- 3 Methodology
- 4 Data processing
- 5 Results and discussion
- 6 Conclusion
- References
- Chapter Seven Genetic algorithm for the optimization of infectiological parameter values under different nutritional status
- Abstract
- 1 Introduction
- 2 Methods and materials
- 3 Results
- 4 Discussion
- 5 Conclusions
- References
- Chapter Eight A novel influencer mutation strategy for nature-inspired optimization algorithms to solve electricity price forecasting problem
- Abstract
- 1 Introduction
- 2 Related works
- 3 Influencer mutation
- 4 Influencer mutation-based optimization algorithm
- 5 Experimental results and analysis
- 6 Conclusions and future work
- References
- Chapter Nine Recent trends in human- and bioinspired computing: Use-case study from a retail perspective
- Abstract
- 1 Introduction
- 2 Brain-inspired models with user interaction for retail product recognition
- 3 Deep learning and somatosensory model-based retail product recognition
- 4 Conclusion
- References
- Further reading
- Part III: Information and computational systems
- Chapter Ten Domain knowledge-enriched summarization of legal judgment documents via grey wolf optimization
- Abstract
- 1 Introduction
- 2 Background
- 3 Related works
- 4 Methodology
- 5 Results and discussion
- 6 Conclusion
- References
- Chapter Eleven Bio-intelligent computing and optimization techniques for developing computerized solutions
- Abstract
- 1 Introduction
- 2 Background
- 3 Evolution of bioengineering
- 4 Conclusion
- References
- Further reading
- Chapter Twelve Optimizing the feature selection methods using a novel approach inspired by the TLBO algorithm for student performance prediction
- Abstract
- 1 Introduction
- 2 Related work
- 3 The proposed method
- 4 Experimental setup and results
- 5 Conclusion
- References
- Part IV: Communication and networking systems
- Chapter Thirteen Applying evolutionary methods for the optimization of an intrusion detection system to detect anomalies in network traffic flows
- Abstract
- 1 Introduction
- 2 Preliminary concepts
- 3 MSNM as IDS
- 4 Dataset used: UGR′16
- 5 Proposed optimization approaches
- 6 Experiments and results
- 7 Conclusions and future work
- Acknowledgments
- References
- Chapter Fourteen Modified grey wolf optimization in user scheduling and antenna selection in MU-MIMO uplink system
- Abstract
- 1 Introduction
- 2 MU-MIMO uplink system model
- 3 Proposed optimization algorithms
- 4 Binary grey wolf optimization
- 5 Experimental analysis
- 6 Conclusion
- Declaration of conflict of interest
- References
- Chapter Fifteen Spectral efficiency optimization by the application of metaheuristic optimization techniques
- Abstract
- 1 Introduction
- 2 System model
- 3 Proposed algorithms for MIMO broadcast scheduling
- 4 Results and discussions
- 5 Conclusion
- References
- Chapter Sixteen An effective genetic algorithm for solving traveling salesman problem with group theory
- Abstract
- 1 Introduction
- 2 Proposed hybrid method
- 3 Experimental results
- 4 Conclusion
- References
- Part V: Deep learning and neural networking systems
- Chapter Seventeen Adaptation of nature inspired optimization algorithms for deep learning
- Abstract
- 1 Introduction
- 2 Nature-inspired optimization techniques
- 3 Application of NIOTs to deep learning
- 4 Challenges and open problems
- 5 Conclusion
- References
- Chapter Eighteen Long short-term memory tuning by enhanced Harris hawks optimization algorithm for crude oil price forecasting
- Abstract
- 1 Introduction
- 2 Related works and basic background
- 3 Methods
- 4 Experimental setup
- 5 Experimental results and discussion
- 6 Conclusion
- References
- Chapter Nineteen Artificial neural network optimized with PSO to estimate the interfacial properties between FRP and concrete surface
- Abstract
- 1 Introduction
- 2 Related work
- 3 Experimental setup
- 4 Preliminaries
- 5 Results and discussion
- 6 Conclusion
- References
- Chapter Twenty Discovering the characteristic set of metaheuristic algorithm to adapt with ANFIS model
- Abstract
- 1 Introduction
- 2 ANFIS model
- 3 Metaheuristics
- 4 Result analysis
- 5 Conclusion
- References
- Edition: 1
- Volume: 135
- Published: April 2, 2024
- Imprint: Academic Press
- No. of pages: 562
- Language: English
- Hardback ISBN: 9780323957687
- eBook ISBN: 9780323957694
AB
Anupam Biswas
Assistant Professor Anupam Biswas works in Computer Science and Engineering at the National Institute of Technology Silchar, Silchar, Assam, India.
Affiliations and expertise
Assistant Professor, Computer Science and Engineering, National Institute of Technology Silchar, Silchar, Assam, IndiaAT
Alberto Paolo Tonda
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.
RP
Ripon Patgiri
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.
Affiliations and expertise
Assistant Professor, Department of Computer Science and Engineering, National Institute of Technology, Silchar, IndiaKM
Krishn Kumar Mishra
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.
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