Sine Cosine Algorithm for Optimization
This open access book serves as a compact source of information on sine cosine algorithm (SCA) and a foundation for developing and advancing SCA and its applications. SCA is an easy, user-friendly, and strong candidate in the field of metaheuristics algorithms. Despite being a relatively new metaheu...
Saved in:
| Main Author: | |
|---|---|
| Other Authors: | , , |
| Format: | Electronic Book Chapter |
| Language: | English |
| Published: |
Singapore
Springer Nature
2023
|
| Series: | SpringerBriefs in Applied Sciences and Technology; SpringerBriefs in Computational Intelligence
|
| Subjects: | |
| Online Access: | DOAB: download the publication DOAB: description of the publication |
| Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
MARC
| LEADER | 00000naaaa2200000uu 4500 | ||
|---|---|---|---|
| 001 | doab_20_500_12854_97788 | ||
| 005 | 20230303 | ||
| 003 | oapen | ||
| 006 | m o d | ||
| 007 | cr|mn|---annan | ||
| 008 | 20230303s2023 xx |||||o ||| 0|eng d | ||
| 020 | |a 978-981-19-9722-8 | ||
| 020 | |a 9789811997228 | ||
| 040 | |a oapen |c oapen | ||
| 024 | 7 | |a 10.1007/978-981-19-9722-8 |c doi | |
| 041 | 0 | |a eng | |
| 042 | |a dc | ||
| 072 | 7 | |a UYQ |2 bicssc | |
| 072 | 7 | |a PBU |2 bicssc | |
| 072 | 7 | |a PBKS |2 bicssc | |
| 100 | 1 | |a Bansal, Jagdish Chand |4 auth | |
| 700 | 1 | |a Bajpai, Prathu |4 auth | |
| 700 | 1 | |a Rawat, Anjali |4 auth | |
| 700 | 1 | |a Nagar, Atulya K. |4 auth | |
| 245 | 1 | 0 | |a Sine Cosine Algorithm for Optimization |
| 260 | |a Singapore |b Springer Nature |c 2023 | ||
| 300 | |a 1 electronic resource (108 p.) | ||
| 336 | |a text |b txt |2 rdacontent | ||
| 337 | |a computer |b c |2 rdamedia | ||
| 338 | |a online resource |b cr |2 rdacarrier | ||
| 490 | 1 | |a SpringerBriefs in Applied Sciences and Technology; SpringerBriefs in Computational Intelligence | |
| 506 | 0 | |a Open Access |2 star |f Unrestricted online access | |
| 520 | |a This open access book serves as a compact source of information on sine cosine algorithm (SCA) and a foundation for developing and advancing SCA and its applications. SCA is an easy, user-friendly, and strong candidate in the field of metaheuristics algorithms. Despite being a relatively new metaheuristic algorithm, it has achieved widespread acceptance among researchers due to its easy implementation and robust optimization capabilities. Its effectiveness and advantages have been demonstrated in various applications ranging from machine learning, engineering design, and wireless sensor network to environmental modeling. The book provides a comprehensive account of the SCA, including details of the underlying ideas, the modified versions, various applications, and a working MATLAB code for the basic SCA. | ||
| 540 | |a Creative Commons |f by/4.0/ |2 cc |4 http://creativecommons.org/licenses/by/4.0/ | ||
| 546 | |a English | ||
| 650 | 7 | |a Artificial intelligence |2 bicssc | |
| 650 | 7 | |a Optimization |2 bicssc | |
| 650 | 7 | |a Numerical analysis |2 bicssc | |
| 653 | |a Sine Cosine Algorithms | ||
| 653 | |a Meta-heuristics | ||
| 653 | |a Numerical Optimization | ||
| 653 | |a Soft Computing | ||
| 653 | |a Numerical Experiments | ||
| 856 | 4 | 0 | |a www.oapen.org |u https://library.oapen.org/bitstream/20.500.12657/61329/1/978-981-19-9722-8.pdf |7 0 |z DOAB: download the publication |
| 856 | 4 | 0 | |a www.oapen.org |u https://directory.doabooks.org/handle/20.500.12854/97788 |7 0 |z DOAB: description of the publication |