000 | 03793nam a22004935i 4500 | ||
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001 | 978-3-642-12775-5 | ||
003 | DE-He213 | ||
005 | 20140220084536.0 | ||
007 | cr nn 008mamaa | ||
008 | 100629s2010 gw | s |||| 0|eng d | ||
020 |
_a9783642127755 _9978-3-642-12775-5 |
||
024 | 7 |
_a10.1007/978-3-642-12775-5 _2doi |
|
050 | 4 | _aQ342 | |
072 | 7 |
_aUYQ _2bicssc |
|
072 | 7 |
_aCOM004000 _2bisacsh |
|
082 | 0 | 4 |
_a006.3 _223 |
100 | 1 |
_aTenne, Yoel. _eeditor. |
|
245 | 1 | 0 |
_aComputational Intelligence in Optimization _h[electronic resource] : _bApplications and Implementations / _cedited by Yoel Tenne, Chi-Keong Goh. |
264 | 1 |
_aBerlin, Heidelberg : _bSpringer Berlin Heidelberg, _c2010. |
|
300 |
_a315p. 74 illus. in color. _bonline resource. |
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336 |
_atext _btxt _2rdacontent |
||
337 |
_acomputer _bc _2rdamedia |
||
338 |
_aonline resource _bcr _2rdacarrier |
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347 |
_atext file _bPDF _2rda |
||
490 | 1 |
_aAdaptation, Learning, and Optimization, _x1867-4534 ; _v7 |
|
505 | 0 | _aNew Hybrid Intelligent Systems to Solve Linear and Quadratic Optimization Problems and Increase Guaranteed Optimal Convergence Speed of Recurrent ANN -- A Novel Optimization Algorithm Based on Reinforcement Learning -- The Use of Opposition for Decreasing Function Evaluations in Population-Based Search -- Search Procedure Exploiting Locally Regularized Objective Approximation. A Convergence Theorem for Direct Search Algorithms -- Optimization Problems with Cardinality Constraints -- Learning Global Optimization Through a Support Vector Machine Based Adaptive Multistart Strategy -- Multi-Objective Optimization Using Surrogates -- A Review of Agent-Based Co-Evolutionary Algorithms for Multi-Objective Optimization -- A Game Theory-Based Multi-Agent System for Expensive Optimisation Problems -- Optimization with Clifford Support Vector Machines and applications -- A Classification method based on principal component analysis and differential evolution algorithm applied for prediction diagnosis from clinical EMR heart data sets -- An Integrated Approach to Speed Up GA-SVM Feature Selection Model -- Computation in Complex Environments; -- Project Scheduling: Time-Cost Tradeoff Problems -- Systolic VLSI and FPGA Realization of Artificial Neural Networks -- Application of Coarse-Coding Techniques for Evolvable Multirobot Controllers. | |
520 | _aThis volume presents a collection of recent studies covering the spectrum of computational intelligence applications with emphasis on their application to challenging real-world problems. Topics covered include: Intelligent agent-based algorithms, Hybrid intelligent systems, Cognitive and evolutionary robotics, Knowledge-Based Engineering, fuzzy sets and systems, Bioinformatics and Bioengineering, Computational finance and Computational economics, Data mining, Machine learning, and Expert systems. "Computational Intelligence in Optimization" is a comprehensive reference for researchers, practitioners and advanced-level students interested in both the theory and practice of using computational intelligence in real-world applications. | ||
650 | 0 | _aEngineering. | |
650 | 0 | _aArtificial intelligence. | |
650 | 0 | _aMathematics. | |
650 | 1 | 4 | _aEngineering. |
650 | 2 | 4 | _aComputational Intelligence. |
650 | 2 | 4 | _aArtificial Intelligence (incl. Robotics). |
650 | 2 | 4 | _aRobotics and Automation. |
650 | 2 | 4 | _aApplications of Mathematics. |
700 | 1 |
_aGoh, Chi-Keong. _eeditor. |
|
710 | 2 | _aSpringerLink (Online service) | |
773 | 0 | _tSpringer eBooks | |
776 | 0 | 8 |
_iPrinted edition: _z9783642127748 |
830 | 0 |
_aAdaptation, Learning, and Optimization, _x1867-4534 ; _v7 |
|
856 | 4 | 0 | _uhttp://dx.doi.org/10.1007/978-3-642-12775-5 |
912 | _aZDB-2-ENG | ||
999 |
_c112136 _d112136 |