Nature-Inspired Optimization Algorithms : (Record no. 84511)
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| 000 -LEADER | |
|---|---|
| fixed length control field | 09611nam a22012735i 4500 |
| 001 - CONTROL NUMBER | |
| control field | 9783110676112 |
| 005 - DATE AND TIME OF LATEST TRANSACTION | |
| control field | 20240730161640.0 |
| 008 - FIXED-LENGTH DATA ELEMENTS--GENERAL INFORMATION | |
| fixed length control field | 230228t20212021gw fo d z eng d |
| 020 ## - INTERNATIONAL STANDARD BOOK NUMBER | |
| ISBN | 9783110676112 |
| 041 0# - LANGUAGE CODE | |
| Language code of text/sound track or separate title | |
| 082 04 - CLASSIFICATION NUMBER | |
| Call Number | 519.3 |
| 084 ## - OTHER CLASSIFICATION NUMBER | |
| -- | SEPA |
| -- | (DE-625)rvk/148144: |
| 245 00 - TITLE STATEMENT | |
| Title | Nature-Inspired Optimization Algorithms : |
| Sub Title | Recent Advances in Natural Computing and Biomedical Applications / |
| 300 ## - PHYSICAL DESCRIPTION | |
| Number of Pages | 1 online resource (XIV, 154 p.) |
| 490 0# - SERIES STATEMENT | |
| Series statement | Intelligent Biomedical Data Analysis , |
| 520 ## - SUMMARY, ETC. | |
| Summary, etc | This book will focus on the involvement of data mining and intelligent computing methods for recent advances in Biomedical applications and algorithms of nature-inspired computing for Biomedical systems. The proposed meta heuristic or nature-inspired techniques should be an enhanced, hybrid, adaptive or improved version of basic algorithms in terms of performance and convergence metrics. In this exciting and emerging interdisciplinary area a wide range of theory and methodologies are being investigated and developed to tackle complex and challenging problems. Today, analysis and processing of data is one of big focuses among researchers community and information society. Due to evolution and knowledge discovery of natural computing, related meta heuristic or bio-inspired algorithms have gained increasing popularity in the recent decade because of their significant potential to tackle computationally intractable optimization dilemma in medical, engineering, military, space and industry fields. The main reason behind the success rate of nature inspired algorithms is their capability to solve problems. The nature inspired optimization techniques provide adaptive computational tools for the complex optimization problems and diversified engineering applications. Tentative Table of Contents/Topic Coverage: - Neural Computation - Evolutionary Computing Methods - Neuroscience driven AI Inspired Algorithms - Biological System based algorithms - Hybrid and Intelligent Computing Algorithms - Application of Natural Computing - Review and State of art analysis of Optimization algorithms - Molecular and Quantum computing applications - Swarm Intelligence - Population based algorithm and other optimizations |
| 650 #0 - SUBJECT ADDED ENTRY--SUBJECT 1 | |
| General subdivision | Medical applications. |
| 700 1# - AUTHOR 2 | |
| Author 2 | Agrawal, Alka, |
| 700 1# - AUTHOR 2 | |
| Author 2 | Batra, Isha, |
| 700 1# - AUTHOR 2 | |
| Author 2 | Bhardwaj, Ramakant, |
| 700 1# - AUTHOR 2 | |
| Author 2 | Bhardwaj, Reeta, |
| 700 1# - AUTHOR 2 | |
| Author 2 | Bhushan, Bharat, |
| 700 1# - AUTHOR 2 | |
| Author 2 | Goyal, Anjali, |
| 700 1# - AUTHOR 2 | |
| Author 2 | Harika, Gunturu, |
| 700 1# - AUTHOR 2 | |
| Author 2 | Kaur, Balwinder, |
| 700 1# - AUTHOR 2 | |
| Author 2 | Kaur, Harpreet, |
| 700 1# - AUTHOR 2 | |
| Author 2 | Khamparia, Aditya, |
| 700 1# - AUTHOR 2 | |
| Author 2 | Khamparia, Aditya, |
| 700 1# - AUTHOR 2 | |
| Author 2 | Khan, Raees Ahmad, |
| 700 1# - AUTHOR 2 | |
| Author 2 | Khanna, Ashish, |
| 700 1# - AUTHOR 2 | |
| Author 2 | Kumar Mishra, Amit, |
| 700 1# - AUTHOR 2 | |
| Author 2 | Kumar Pandey, Abhishek, |
| 700 1# - AUTHOR 2 | |
| Author 2 | Kumar Singh, Sanjay, |
| 700 1# - AUTHOR 2 | |
| Author 2 | Kumar, Rajeev, |
| 700 1# - AUTHOR 2 | |
| Author 2 | Kumari, Poonam, |
| 700 1# - AUTHOR 2 | |
| Author 2 | Le Nguyen, Bao, |
| 700 1# - AUTHOR 2 | |
| Author 2 | Malik, Arun, |
| 700 1# - AUTHOR 2 | |
| Author 2 | Malik, Rahul, |
| 700 1# - AUTHOR 2 | |
| Author 2 | Mishra, D. K., |
| 700 1# - AUTHOR 2 | |
| Author 2 | Nguyen, Nhu Gia, |
| 700 1# - AUTHOR 2 | |
| Author 2 | Pande, Sagar, |
| 700 1# - AUTHOR 2 | |
| Author 2 | Sahu, Vishal, |
| 700 1# - AUTHOR 2 | |
| Author 2 | Sharma, Vivek, |
| 700 1# - AUTHOR 2 | |
| Author 2 | Shinde, Vikas, |
| 700 1# - AUTHOR 2 | |
| Author 2 | Shukla, Pratyush, |
| 700 1# - AUTHOR 2 | |
| Author 2 | Singla, Jimmy, |
| 700 1# - AUTHOR 2 | |
| Author 2 | Tripathi, Ashutosh, |
| 856 40 - ELECTRONIC LOCATION AND ACCESS | |
| Uniform Resource Identifier | https://doi.org/10.1515/9783110676112 |
| 856 40 - ELECTRONIC LOCATION AND ACCESS | |
| Uniform Resource Identifier | https://www.degruyter.com/isbn/9783110676112 |
| 856 42 - ELECTRONIC LOCATION AND ACCESS | |
| Uniform Resource Identifier | https://www.degruyter.com/document/cover/isbn/9783110676112/original |
| 942 ## - ADDED ENTRY ELEMENTS (KOHA) | |
| Koha item type | eBooks |
| 264 #1 - | |
| -- | Berlin ; |
| -- | Boston : |
| -- | De Gruyter, |
| -- | [2021] |
| 264 #4 - | |
| -- | ©2021 |
| 336 ## - | |
| -- | text |
| -- | txt |
| -- | rdacontent |
| 337 ## - | |
| -- | computer |
| -- | c |
| -- | rdamedia |
| 338 ## - | |
| -- | online resource |
| -- | cr |
| -- | rdacarrier |
| 347 ## - | |
| -- | text file |
| -- | |
| -- | rda |
| 588 0# - | |
| -- | Description based on online resource; title from PDF title page (publisher's Web site, viewed 28. Feb 2023) |
| 650 #0 - SUBJECT ADDED ENTRY--SUBJECT 1 | |
| -- | Artificial intelligence |
| 650 #0 - SUBJECT ADDED ENTRY--SUBJECT 1 | |
| -- | Biomedical engineering. |
| 650 #0 - SUBJECT ADDED ENTRY--SUBJECT 1 | |
| -- | Mathematical optimization. |
| 650 #0 - SUBJECT ADDED ENTRY--SUBJECT 1 | |
| -- | Natural computation. |
| 650 #0 - SUBJECT ADDED ENTRY--SUBJECT 1 | |
| -- | Nature-inspired algorithms. |
| 650 #0 - SUBJECT ADDED ENTRY--SUBJECT 1 | |
| -- | Program transformation (Computer programming). |
| 650 #4 - SUBJECT ADDED ENTRY--SUBJECT 1 | |
| -- | Algorithmus. |
| 650 #4 - SUBJECT ADDED ENTRY--SUBJECT 1 | |
| -- | Big Data. |
| 650 #4 - SUBJECT ADDED ENTRY--SUBJECT 1 | |
| -- | Künstliche Intelligenz. |
| 650 #4 - SUBJECT ADDED ENTRY--SUBJECT 1 | |
| -- | Maschinelles Lernen. |
| 650 #7 - SUBJECT ADDED ENTRY--SUBJECT 1 | |
| -- | COMPUTERS / Intelligence (AI) & Semantics. |
| 912 ## - | |
| -- | 978-3-11-075070-6 DG Plus DeG Package 2021 Part 1 |
| -- | 2021 |
| 912 ## - | |
| -- | 978-3-11-075072-0 DG Ebook Package English 2021 |
| -- | 2021 |
| 912 ## - | |
| -- | 978-3-11-075400-1 EBOOK PACKAGE COMPLETE 2021 English |
| -- | 2021 |
| 912 ## - | |
| -- | 978-3-11-075407-0 EBOOK PACKAGE Engineering, Computer Sciences 2021 English |
| -- | 2021 |
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| -- | PDA5EBK |
| 912 ## - | |
| -- | ZDB-23-DEI |
| -- | 2021 |
| 912 ## - | |
| -- | ZDB-23-DGG |
| -- | 2021 |
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