| 000 | 03275nam a22005775i 4500 | ||
|---|---|---|---|
| 001 | 978-981-19-9722-8 | ||
| 003 | DE-He213 | ||
| 005 | 20240508082416.0 | ||
| 007 | cr nn 008mamaa | ||
| 008 | 230130s2023 si | s |||| 0|eng d | ||
| 020 |
_a9789811997228 _9978-981-19-9722-8 |
||
| 024 | 7 |
_a10.1007/978-981-19-9722-8 _2doi |
|
| 050 | 4 | _aQ342 | |
| 072 | 7 |
_aUYQ _2bicssc |
|
| 072 | 7 |
_aCOM004000 _2bisacsh |
|
| 072 | 7 |
_aUYQ _2thema |
|
| 082 | 0 | 4 |
_a006.3 _223 |
| 100 | 1 |
_aBansal, Jagdish Chand. _eauthor. _4aut _4http://id.loc.gov/vocabulary/relators/aut |
|
| 245 | 1 | 0 |
_aSine Cosine Algorithm for Optimization _h[electronic resource] / _cby Jagdish Chand Bansal, Prathu Bajpai, Anjali Rawat, Atulya K. Nagar. |
| 250 | _a1st ed. 2023. | ||
| 264 | 1 |
_aSingapore : _bSpringer Nature Singapore : _bImprint: Springer, _c2023. |
|
| 300 |
_aX, 108 p. 21 illus., 19 illus. in color. _bonline resource. |
||
| 336 |
_atext _btxt _2rdacontent |
||
| 337 |
_acomputer _bc _2rdamedia |
||
| 338 |
_aonline resource _bcr _2rdacarrier |
||
| 347 |
_atext file _bPDF _2rda |
||
| 490 | 1 |
_aSpringerBriefs in Computational Intelligence, _x2625-3712 |
|
| 505 | 0 | _aIntroduction -- Sine Cosine Algorithm -- Sine Cosine Algorithm for Multi-Objective Optimization -- Sine Cosine Algorithm for Discrete Optimization Problems -- Advancements in the Sine Cosine Algorithm -- Conclusion and Further Research Directions. | |
| 506 | 0 | _aOpen Access | |
| 520 | _aThis 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. | ||
| 650 | 0 | _aComputational intelligence. | |
| 650 | 0 | _aMathematical optimization. | |
| 650 | 0 | _aAlgorithms. | |
| 650 | 1 | 4 | _aComputational Intelligence. |
| 650 | 2 | 4 | _aOptimization. |
| 650 | 2 | 4 | _aAlgorithms. |
| 700 | 1 |
_aBajpai, Prathu. _eauthor. _4aut _4http://id.loc.gov/vocabulary/relators/aut |
|
| 700 | 1 |
_aRawat, Anjali. _eauthor. _4aut _4http://id.loc.gov/vocabulary/relators/aut |
|
| 700 | 1 |
_aNagar, Atulya K. _eauthor. _4aut _4http://id.loc.gov/vocabulary/relators/aut |
|
| 710 | 2 | _aSpringerLink (Online service) | |
| 773 | 0 | _tSpringer Nature eBook | |
| 776 | 0 | 8 |
_iPrinted edition: _z9789811997211 |
| 776 | 0 | 8 |
_iPrinted edition: _z9789811997235 |
| 830 | 0 |
_aSpringerBriefs in Computational Intelligence, _x2625-3712 |
|
| 856 | 4 | 0 | _uhttps://doi.org/10.1007/978-981-19-9722-8 |
| 912 | _aZDB-2-INR | ||
| 912 | _aZDB-2-SXIT | ||
| 912 | _aZDB-2-SOB | ||
| 999 |
_c37655 _d37655 |
||