| 000 | 03627nam a22005655i 4500 | ||
|---|---|---|---|
| 001 | 978-3-319-26467-7 | ||
| 003 | DE-He213 | ||
| 005 | 20220801221347.0 | ||
| 007 | cr nn 008mamaa | ||
| 008 | 151209s2016 sz | s |||| 0|eng d | ||
| 020 |
_a9783319264677 _9978-3-319-26467-7 |
||
| 024 | 7 |
_a10.1007/978-3-319-26467-7 _2doi |
|
| 050 | 4 | _aQ342 | |
| 072 | 7 |
_aUYQ _2bicssc |
|
| 072 | 7 |
_aTEC009000 _2bisacsh |
|
| 072 | 7 |
_aUYQ _2thema |
|
| 082 | 0 | 4 |
_a006.3 _223 |
| 100 | 1 |
_aAguiar e Oliveira Junior, Hime. _eauthor. _4aut _4http://id.loc.gov/vocabulary/relators/aut _955597 |
|
| 245 | 1 | 0 |
_aEvolutionary Global Optimization, Manifolds and Applications _h[electronic resource] / _cby Hime Aguiar e Oliveira Junior. |
| 250 | _a1st ed. 2016. | ||
| 264 | 1 |
_aCham : _bSpringer International Publishing : _bImprint: Springer, _c2016. |
|
| 300 |
_aXIII, 137 p. 43 illus., 26 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 |
_aStudies in Systems, Decision and Control, _x2198-4190 ; _v43 |
|
| 505 | 0 | _aPart I Introductory Information -- Part II Global optimization on manifolds -- Part III Further Applications of fuzzy ASA. | |
| 520 | _aThis book presents powerful techniques for solving global optimization problems on manifolds by means of evolutionary algorithms, and shows in practice how these techniques can be applied to solve real-world problems. It describes recent findings and well-known key facts in general and differential topology, revisiting them all in the context of application to current optimization problems. Special emphasis is put on game theory problems. Here, these problems are reformulated as constrained global optimization tasks and solved with the help of Fuzzy ASA. In addition, more abstract examples, including minimizations of well-known functions, are also included. Although the Fuzzy ASA approach has been chosen as the main optimizing paradigm, the book suggests that other metaheuristic methods could be used as well. Some of them are introduced, together with their advantages and disadvantages. Readers should possess some knowledge of linear algebra, and of basic concepts of numerical analysis and probability theory. Many necessary definitions and fundamental results are provided, with the formal mathematical requirements limited to a minimum, while the focus is kept firmly on continuous problems. The book offers a valuable resource for students, researchers and practitioners. It is suitable for university courses on optimization and for self-study. . | ||
| 650 | 0 |
_aComputational intelligence. _97716 |
|
| 650 | 0 |
_aEconometrics. _920971 |
|
| 650 | 0 |
_aMathematical optimization. _94112 |
|
| 650 | 0 |
_aStatistics . _931616 |
|
| 650 | 1 | 4 |
_aComputational Intelligence. _97716 |
| 650 | 2 | 4 |
_aQuantitative Economics. _931722 |
| 650 | 2 | 4 |
_aContinuous Optimization. _933915 |
| 650 | 2 | 4 |
_aStatistics in Engineering, Physics, Computer Science, Chemistry and Earth Sciences. _931790 |
| 710 | 2 |
_aSpringerLink (Online service) _955598 |
|
| 773 | 0 | _tSpringer Nature eBook | |
| 776 | 0 | 8 |
_iPrinted edition: _z9783319264660 |
| 776 | 0 | 8 |
_iPrinted edition: _z9783319264684 |
| 776 | 0 | 8 |
_iPrinted edition: _z9783319799582 |
| 830 | 0 |
_aStudies in Systems, Decision and Control, _x2198-4190 ; _v43 _955599 |
|
| 856 | 4 | 0 | _uhttps://doi.org/10.1007/978-3-319-26467-7 |
| 912 | _aZDB-2-ENG | ||
| 912 | _aZDB-2-SXE | ||
| 942 | _cEBK | ||
| 999 |
_c79587 _d79587 |
||