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020 _a9783319493251
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024 7 _a10.1007/978-3-319-49325-1
_2doi
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072 7 _aUYQ
_2bicssc
072 7 _aTEC009000
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072 7 _aUYQ
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082 0 4 _a006.3
_223
245 1 0 _aEVOLVE – A Bridge between Probability, Set Oriented Numerics and Evolutionary Computation VII
_h[electronic resource] /
_cedited by Michael Emmerich, André Deutz, Oliver Schütze, Pierrick Legrand, Emilia Tantar, Alexandru-Adrian Tantar.
250 _a1st ed. 2017.
264 1 _aCham :
_bSpringer International Publishing :
_bImprint: Springer,
_c2017.
300 _aVIII, 210 p. 75 illus., 36 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 ;
_v662
505 0 _aA Survey of Diversity Oriented Optimization: Problems, Indicators, and Algorithms -- Global Multi-Objective Optimization by Means of Cell Mapping Techniques -- Percentile via Polynomial Chaos Expansion: Bridging Robust Optimization with Reliability -- Evolutionary Equilibrium Detection in Multicriteria Games -- A New Estimation of Distribution Algorithm for Nash Equilibria Detection -- Multi-Objective Optimisation by Self-Adaptive Evolutionary Algorithm -- Evidence Based Multidisciplinary Robust Optimization for Mars Micro Entry Probe Design -- A Simulation-Based Algorithm for the Probabilistic Traveling Salesman Problem -- Average Cuboid Volume as a Convergence Indicator and Selection Criterion for Multi-Objective Biochemical Optimization.
520 _aThis book comprises nine selected works on numerical and computational methods for solving multiobjective optimization, game theory, and machine learning problems. It provides extended versions of selected papers from various fields of science such as computer science, mathematics and engineering that were presented at EVOLVE 2013 held in July 2013 at Leiden University in the Netherlands. The internationally peer-reviewed papers include original work on important topics in both theory and applications, such as the role of diversity in optimization, statistical approaches to combinatorial optimization, computational game theory, and cell mapping techniques for numerical landscape exploration. Applications focus on aspects including robustness, handling multiple objectives, and complex search spaces in engineering design and computational biology.
650 0 _aComputational intelligence.
_97716
650 0 _aArtificial intelligence.
_93407
650 0 _aProbabilities.
_94604
650 0 _aComputer science—Mathematics.
_931682
650 0 _aMathematics—Data processing.
_931594
650 1 4 _aComputational Intelligence.
_97716
650 2 4 _aArtificial Intelligence.
_93407
650 2 4 _aProbability Theory.
_917950
650 2 4 _aMathematics of Computing.
_931875
650 2 4 _aComputational Mathematics and Numerical Analysis.
_931598
700 1 _aEmmerich, Michael.
_eeditor.
_0(orcid)0000-0002-7342-2090
_1https://orcid.org/0000-0002-7342-2090
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700 1 _aDeutz, André.
_eeditor.
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_944971
700 1 _aSchütze, Oliver.
_eeditor.
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_944972
700 1 _aLegrand, Pierrick.
_eeditor.
_4edt
_4http://id.loc.gov/vocabulary/relators/edt
_944973
700 1 _aTantar, Emilia.
_eeditor.
_4edt
_4http://id.loc.gov/vocabulary/relators/edt
_944974
700 1 _aTantar, Alexandru-Adrian.
_eeditor.
_4edt
_4http://id.loc.gov/vocabulary/relators/edt
_944975
710 2 _aSpringerLink (Online service)
_944976
773 0 _tSpringer Nature eBook
776 0 8 _iPrinted edition:
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776 0 8 _iPrinted edition:
_z9783319493268
776 0 8 _iPrinted edition:
_z9783319841335
830 0 _aStudies in Computational Intelligence,
_x1860-9503 ;
_v662
_944977
856 4 0 _uhttps://doi.org/10.1007/978-3-319-49325-1
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