| 000 | 04757nam a22005775i 4500 | ||
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| 001 | 978-981-97-3286-9 | ||
| 003 | DE-He213 | ||
| 005 | 20251030112623.0 | ||
| 007 | cr nn 008mamaa | ||
| 008 | 240711s2024 si | s |||| 0|eng d | ||
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_a9789819732869 _9978-981-97-3286-9 |
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| 024 | 7 |
_a10.1007/978-981-97-3286-9 _2doi |
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| 050 | 4 | _aTA347.A78 | |
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_aCOM004000 _2bisacsh |
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| 100 | 1 |
_aLi, Changhe. _eauthor. _4aut _4http://id.loc.gov/vocabulary/relators/aut _966874 |
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| 245 | 1 | 0 |
_aIntelligent Optimization _h[electronic resource] : _bPrinciples, Algorithms and Applications / _cby Changhe Li, Shoufei Han, Sanyou Zeng, Shengxiang Yang. |
| 250 | _a1st ed. 2024. | ||
| 264 | 1 |
_aSingapore : _bSpringer Nature Singapore : _bImprint: Springer, _c2024. |
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| 300 |
_aXXIII, 361 p. 152 illus., 63 illus. in color. _bonline resource. |
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| 336 |
_atext _btxt _2rdacontent |
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| 337 |
_acomputer _bc _2rdamedia |
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| 338 |
_aonline resource _bcr _2rdacarrier |
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| 347 |
_atext file _bPDF _2rda |
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| 505 | 0 | _achapter 1 Introduction -- chapter 2 Fundamentals -- chapter 3 Canonical Optimization Algorithms -- chapter 4 Basics of Evolutionary Computation Algorithms -- chapter 5 Popular Evolutionary Computation Algorithms -- chapter 6 Parameter Control and Policy Control -- chapter 7 Exploitation versus Exploration -- chapter 8 Multi-modal Optimization -- chapter 9 Multi-objective Optimization -- chapter 10 Constrained Optimization -- chapter 11 Dynamic Optimization.-chapter 12 Robust Optimization.-Chapter 13 Large-scale Global Optimization.-Chapter 14 Expensive Optimization -- Chapter 15 Real-world Applications. | |
| 520 | _aThis textbook comprehensively explores the foundational principles, algorithms, and applications of intelligent optimization, making it an ideal resource for both undergraduate and postgraduate artificial intelligence courses. It remains equally valuable for active researchers and individuals engaged in self-study. Serving as a significant reference, it delves into advanced topics within the evolutionary computation field, including multi-objective optimization, dynamic optimization, constrained optimization, robust optimization, expensive optimization, and other pivotal scientific studies related to optimization. Designed to be approachable and inclusive, this textbook equips readers with the essential mathematical background necessary for understanding intelligent optimization. It employs an accessible writing style, complemented by extensive pseudo-code and diagrams that vividly illustrate the mechanisms, principles, and algorithms of optimization. With a focus on practicality, this textbook provides diverse real-world application examples spanning engineering, games, logistics, and other domains, enabling readers to confidently apply intelligent techniques to actual optimization problems. Recognizing the importance of hands-on experience, the textbook introduces the Open-source Framework for Evolutionary Computation platform (OFEC) as a user-friendly tool. This platform serves as a comprehensive toolkit for implementing, evaluating, visualizing, and benchmarking various optimization algorithms. The book guides readers on maximizing the utility of OFEC for conducting experiments and analyses in the field of evolutionary computation, facilitating a deeper understanding of intelligent optimization through practical application. | ||
| 650 | 0 |
_aArtificial intelligence. _958441 |
|
| 650 | 0 |
_aAlgorithms. _958677 |
|
| 650 | 0 |
_aMathematical optimization. _965522 |
|
| 650 | 0 |
_aComputational intelligence. _964052 |
|
| 650 | 1 | 4 |
_aArtificial Intelligence. _958441 |
| 650 | 2 | 4 |
_aDesign and Analysis of Algorithms. _967299 |
| 650 | 2 | 4 |
_aContinuous Optimization. _977198 |
| 650 | 2 | 4 |
_aComputational Intelligence. _964052 |
| 700 | 1 |
_aHan, Shoufei. _eauthor. _0(orcid)0000-0003-3583-7735 _1https://orcid.org/0000-0003-3583-7735 _4aut _4http://id.loc.gov/vocabulary/relators/aut _980366 |
|
| 700 | 1 |
_aZeng, Sanyou. _eauthor. _4aut _4http://id.loc.gov/vocabulary/relators/aut _980367 |
|
| 700 | 1 |
_aYang, Shengxiang. _eauthor. _0(orcid)0000-0001-7222-4917 _1https://orcid.org/0000-0001-7222-4917 _4aut _4http://id.loc.gov/vocabulary/relators/aut |
|
| 710 | 2 | _aSpringerLink (Online service) | |
| 773 | 0 | _tSpringer Nature eBook | |
| 776 | 0 | 8 |
_iPrinted edition: _z9789819732852 |
| 776 | 0 | 8 |
_iPrinted edition: _z9789819732876 |
| 856 | 4 | 0 | _uhttps://doi.org/10.1007/978-981-97-3286-9 |
| 912 | _aZDB-2-SCS | ||
| 912 | _aZDB-2-SXCS | ||
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