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020 _a9783030457150
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024 7 _a10.1007/978-3-030-45715-0
_2doi
050 4 _aQ334-342
050 4 _aTA347.A78
072 7 _aUYQ
_2bicssc
072 7 _aCOM004000
_2bisacsh
072 7 _aUYQ
_2thema
082 0 4 _a006.3
_223
245 1 0 _aArtificial Evolution
_h[electronic resource] :
_b14th International Conference, Évolution Artificielle, EA 2019, Mulhouse, France, October 29–30, 2019, Revised Selected Papers /
_cedited by Lhassane Idoumghar, Pierrick Legrand, Arnaud Liefooghe, Evelyne Lutton, Nicolas Monmarché, Marc Schoenauer.
250 _a1st ed. 2020.
264 1 _aCham :
_bSpringer International Publishing :
_bImprint: Springer,
_c2020.
300 _aXIV, 219 p. 76 illus., 32 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 _aTheoretical Computer Science and General Issues,
_x2512-2029 ;
_v12052
505 0 _aFrom Feature Selection to Continuous Optimization -- Evolving a Weighted Combination of Text Similarities for Authorship Attribution -- Image Signal Processor Parameter Tuning with Surrogate-assisted Particle Swarm Optimization -- Combinatorial Surrogate-assisted Optimization for Bus Stops Spacing Problem -- Optimization of a Checkers Player Using Neural and Metaheuristic Approaches -- A Novel Outlook on Feature Selection as a Multi-Objective Problem -- Fast Evolutionary Algorithm for Solving Large-scale Multi-objective Problems -- Looking for Energy Efficient Genetic Algorithms -- Evolving Fitness Landscapes with Complementary Fitness Functions -- Bayesian Immigrant Diploid Genetic Algorithm for Dynamic Environments -- Ant Colony Optimization Algorithm for a Transportation Problem in Home Health Care with the Consideration of Carbon Emissions -- Selective Vehicle Routing Problem: A Hybrid Genetic Algorithm Approach -- Fixed Jobs Multi-agent Scheduling Problem with Renewable Resources -- A Study ofRecombination Operators for the Cyclic Bandwidth Problem -- Automatic Calibration of a Farm Irrigation Model: a Multi-modal Optimization Approach -- A Hybrid Evolutionary Algorithm for Offl­ine UAV Path Planning.
520 _aThis book constitutes the thoroughly refereed post-conference proceedings of the 14th International Conference on Artificial Evolution, EA 2019, held in Mulhouse, France, in October 2019. The 16 revised papers were carefully reviewed and selected from 33 submissions. The papers cover a wide range of topics in the field of artificial evolution, such as evolutionary computation, evolutionary optimization, co-evolution, artificial life, population dynamics, theory, algorithmic and modeling, implementations, application of evolutionary paradigms to the real world (industry, biosciences...), other biologically-inspired paradigms (swarm, artificial ants, artificial immune systems, cultural algorithms...), memetic algorithms, multi-objective optimization, constraint handling, parallel algorithms, dynamic optimization, machine learning and hybridization with other soft computing techniques.
650 0 _aArtificial intelligence.
650 0 _aAlgorithms.
650 0 _aNumerical analysis.
650 0 _aComputer networks .
650 0 _aComputer engineering.
650 1 4 _aArtificial Intelligence.
650 2 4 _aAlgorithms.
650 2 4 _aNumerical Analysis.
650 2 4 _aComputer Communication Networks.
650 2 4 _aComputer Engineering and Networks.
700 1 _aIdoumghar, Lhassane.
_eeditor.
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_4http://id.loc.gov/vocabulary/relators/edt
700 1 _aLegrand, Pierrick.
_eeditor.
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700 1 _aLiefooghe, Arnaud.
_eeditor.
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700 1 _aLutton, Evelyne.
_eeditor.
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700 1 _aMonmarché, Nicolas.
_eeditor.
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700 1 _aSchoenauer, Marc.
_eeditor.
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710 2 _aSpringerLink (Online service)
773 0 _tSpringer Nature eBook
776 0 8 _iPrinted edition:
_z9783030457143
776 0 8 _iPrinted edition:
_z9783030457167
830 0 _aTheoretical Computer Science and General Issues,
_x2512-2029 ;
_v12052
856 4 0 _uhttps://doi.org/10.1007/978-3-030-45715-0
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