| 000 | 03515nam a22005415i 4500 | ||
|---|---|---|---|
| 001 | 978-3-319-59861-1 | ||
| 003 | DE-He213 | ||
| 005 | 20220801221547.0 | ||
| 007 | cr nn 008mamaa | ||
| 008 | 170627s2018 sz | s |||| 0|eng d | ||
| 020 |
_a9783319598611 _9978-3-319-59861-1 |
||
| 024 | 7 |
_a10.1007/978-3-319-59861-1 _2doi |
|
| 050 | 4 | _aQ342 | |
| 072 | 7 |
_aUYQ _2bicssc |
|
| 072 | 7 |
_aTEC009000 _2bisacsh |
|
| 072 | 7 |
_aUYQ _2thema |
|
| 082 | 0 | 4 |
_a006.3 _223 |
| 245 | 1 | 0 |
_aRecent Advances in Computational Optimization _h[electronic resource] : _bResults of the Workshop on Computational Optimization WCO 2016 / _cedited by Stefka Fidanova. |
| 250 | _a1st ed. 2018. | ||
| 264 | 1 |
_aCham : _bSpringer International Publishing : _bImprint: Springer, _c2018. |
|
| 300 |
_aX, 235 p. 50 illus., 42 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 Computational Intelligence, _x1860-9503 ; _v717 |
|
| 505 | 0 | _aSequential Predictive Scheduling in Partitioned Data Domains -- Wildfire Optimizations in Modeling and Calibrations for Bulgarian Test Cases -- Process Control with the Variability Constraints -- Comparison of Different ACO Start Strategies Based on InterCriteria Analysis -- Evolutionary Approach for Tuning of Longwall Scraper Conveyor Model -- Solving Graph Partitioning Problems with Parallel Metaheuristics -- Comparison of Selected Fuzzy PSO Algorithms. | |
| 520 | _aThis book presents new optimization approaches and methods and their application in real-world and industrial problems, and demonstrates how many of the problems arising in engineering, economics and other domains can be formulated as optimization problems. Constituting a comprehensive collection of extended contributions from the 9th International Workshop on Computational Optimization (WCO) held in Gdansk, Poland, September 11–14, 2016, the book discusses important applications such as job scheduling, wildfire modeling, parameter settings for controlling different processes, capital budgeting, data mining, finding the location of sensors in a given network, identifying the conformation of molecules, algorithm correctness, decision support system, and computer memory management. Further, it shows how to develop algorithms for these based on new intelligent methods like evolutionary computations, ant colony optimization and constraint programming. The book is a valuable resource for researchers and practitioners alike. | ||
| 650 | 0 |
_aComputational intelligence. _97716 |
|
| 650 | 0 |
_aArtificial intelligence. _93407 |
|
| 650 | 0 |
_aMathematical optimization. _94112 |
|
| 650 | 1 | 4 |
_aComputational Intelligence. _97716 |
| 650 | 2 | 4 |
_aArtificial Intelligence. _93407 |
| 650 | 2 | 4 |
_aOptimization. _956729 |
| 700 | 1 |
_aFidanova, Stefka. _eeditor. _4edt _4http://id.loc.gov/vocabulary/relators/edt _956730 |
|
| 710 | 2 |
_aSpringerLink (Online service) _956731 |
|
| 773 | 0 | _tSpringer Nature eBook | |
| 776 | 0 | 8 |
_iPrinted edition: _z9783319598604 |
| 776 | 0 | 8 |
_iPrinted edition: _z9783319598628 |
| 776 | 0 | 8 |
_iPrinted edition: _z9783319867205 |
| 830 | 0 |
_aStudies in Computational Intelligence, _x1860-9503 ; _v717 _956732 |
|
| 856 | 4 | 0 | _uhttps://doi.org/10.1007/978-3-319-59861-1 |
| 912 | _aZDB-2-ENG | ||
| 912 | _aZDB-2-SXE | ||
| 942 | _cEBK | ||
| 999 |
_c79802 _d79802 |
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