Applications of Nature-Inspired Computing and Optimization Techniques
Academic Press Inc (Verlag)
978-0-323-95768-7 (ISBN)
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.
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.
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 Nikolic, 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
| Erscheinungsdatum | 06.04.2024 |
|---|---|
| Reihe/Serie | Advances in Computers |
| Verlagsort | Oxford |
| Sprache | englisch |
| Maße | 152 x 229 mm |
| Gewicht | 450 g |
| Themenwelt | Mathematik / Informatik ► Informatik ► Software Entwicklung |
| Mathematik / Informatik ► Mathematik ► Angewandte Mathematik | |
| Mathematik / Informatik ► Mathematik ► Finanz- / Wirtschaftsmathematik | |
| ISBN-10 | 0-323-95768-4 / 0323957684 |
| ISBN-13 | 978-0-323-95768-7 / 9780323957687 |
| Zustand | Neuware |
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