| 000 | 03804naaaa2200841uu 4500 | ||
|---|---|---|---|
| 001 | https://directory.doabooks.org/handle/20.500.12854/54914 | ||
| 005 | 20220714192255.0 | ||
| 020 | _abooks978-3-03921-817-2 | ||
| 020 | _a9783039218172 | ||
| 020 | _a9783039218165 | ||
| 024 | 7 |
_a10.3390/books978-3-03921-817-2 _cdoi |
|
| 041 | 0 | _aEnglish | |
| 042 | _adc | ||
| 100 | 1 |
_aLara, Adriana _4auth _91616383 |
|
| 700 | 1 |
_aQuiroz, Marcela _4auth _91564841 |
|
| 700 | 1 |
_aSchütze, Oliver _4auth _91564842 |
|
| 700 | 1 |
_aMezura-Montes, Efrén _4auth _91616384 |
|
| 245 | 1 | 0 | _aNumerical and Evolutionary Optimization |
| 260 |
_bMDPI - Multidisciplinary Digital Publishing Institute _c2019 |
||
| 300 | _a1 electronic resource (230 p.) | ||
| 506 | 0 |
_aOpen Access _2star _fUnrestricted online access |
|
| 520 | _aThis book was established after the 6th International Workshop on Numerical and Evolutionary Optimization (NEO), representing a collection of papers on the intersection of the two research areas covered at this workshop: numerical optimization and evolutionary search techniques. While focusing on the design of fast and reliable methods lying across these two paradigms, the resulting techniques are strongly applicable to a broad class of real-world problems, such as pattern recognition, routing, energy, lines of production, prediction, and modeling, among others. This volume is intended to serve as a useful reference for mathematicians, engineers, and computer scientists to explore current issues and solutions emerging from these mathematical and computational methods and their applications. | ||
| 540 |
_aCreative Commons _fhttps://creativecommons.org/licenses/by-nc-nd/4.0/ _2cc _4https://creativecommons.org/licenses/by-nc-nd/4.0/ |
||
| 546 | _aEnglish | ||
| 653 | _amodel predictive control | ||
| 653 | _abulbous bow | ||
| 653 | _aimprovement differential evolution algorithm | ||
| 653 | _aevolutionary multi-objective optimization | ||
| 653 | _alocation routing problem | ||
| 653 | _aflexible job shop scheduling problem | ||
| 653 | _abasic differential evolution algorithm | ||
| 653 | _ametric measure spaces | ||
| 653 | _aNEAT | ||
| 653 | _agenetic algorithm | ||
| 653 | _amultiobjective optimization | ||
| 653 | _aimproved differential evolution algorithm | ||
| 653 | _aperformance indicator | ||
| 653 | _arubber | ||
| 653 | _aaveraged Hausdorff distance | ||
| 653 | _amixture experiments | ||
| 653 | _aU-shaped assembly line balancing | ||
| 653 | _aGenetic Programming | ||
| 653 | _aLocal Search | ||
| 653 | _adriving events | ||
| 653 | _asurrogate-based optimization | ||
| 653 | _asingle component constraints | ||
| 653 | _acrop planning | ||
| 653 | _aPareto front | ||
| 653 | _anumerical simulations | ||
| 653 | _ashape morphing | ||
| 653 | _agenetic programming | ||
| 653 | _aeconomic crops | ||
| 653 | _alocal search and jump search | ||
| 653 | _amodel order reduction | ||
| 653 | _aoptimal solutions | ||
| 653 | _aEvoSpace | ||
| 653 | _arisky driving | ||
| 653 | _aintelligent transportation systems | ||
| 653 | _aoptimal control | ||
| 653 | _aIV-optimality criterion | ||
| 653 | _aBloat | ||
| 653 | _adecision space diversity | ||
| 653 | _amodify differential evolution algorithm | ||
| 653 | _apower means | ||
| 653 | _adriving scoring functions | ||
| 653 | _aopen-source framework | ||
| 653 | _aevolutionary computation | ||
| 653 | _adifferential evolution algorithm | ||
| 653 | _avehicle routing problem | ||
| 653 | _amulti-objective optimization | ||
| 856 | 4 | 0 |
_awww.oapen.org _uhttps://mdpi.com/books/pdfview/book/1812 _70 _zDOAB: download the publication |
| 856 | 4 | 0 |
_awww.oapen.org _uhttps://directory.doabooks.org/handle/20.500.12854/54914 _70 _zDOAB: description of the publication |
| 999 |
_c3015399 _d3015399 |
||