Applications of Evolutionary Computation / Lecture Notes in Computer Science Bd.9597 (PDF)
19th European Conference, EvoApplications 2016, Porto, Portugal, March 30 -- April 1, 2016, Proceedings, Part I
(Sprache: Englisch)
The
two volumes LNCS 9597 and 9598 constitute the refereed conference proceedings
of the 19th European Conference on the Applications of Evolutionary Computation,
EvoApplications 2016, held in Porto, Portugal, in March/April 2016, co-located
with the...
two volumes LNCS 9597 and 9598 constitute the refereed conference proceedings
of the 19th European Conference on the Applications of Evolutionary Computation,
EvoApplications 2016, held in Porto, Portugal, in March/April 2016, co-located
with the...
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Produktinformationen zu „Applications of Evolutionary Computation / Lecture Notes in Computer Science Bd.9597 (PDF)“
The
two volumes LNCS 9597 and 9598 constitute the refereed conference proceedings
of the 19th European Conference on the Applications of Evolutionary Computation,
EvoApplications 2016, held in Porto, Portugal, in March/April 2016, co-located
with the Evo* 2016 events EuroGP, EvoCOP, and EvoMUSART.
The 57 revised full papers presented together with
17 poster papers were carefully reviewed and selected from 115 submissions.
EvoApplications 2016 consisted of the following 13 tracks: EvoBAFIN (natural
computing methods in business analytics and finance), EvoBIO (evolutionary
computation, machine learning and data mining in computational biology), EvoCOMNET
(nature-inspired techniques for telecommunication networks and other parallel
and distributed systems), EvoCOMPLEX (evolutionary algorithms and complex systems),
EvoENERGY (evolutionary computation in energy applications), EvoGAMES
(bio-inspired algorithms in games), EvoIASP (evolutionary computation in image
analysis, signal processing, and pattern recognition), EvoINDUSTRY
(nature-inspired techniques in industrial settings), EvoNUM (bio-inspired
algorithms for continuous parameter optimization), EvoPAR (parallel
implementation of evolutionary algorithms), EvoRISK (computational intelligence
for risk management, security and defence applications), EvoROBOT (evolutionary
robotics), and EvoSTOC (evolutionary algorithms in stochastic and dynamic
environments).
Bibliographische Angaben
- 2016, 1st ed. 2016, 849 Seiten, Englisch
- Herausgegeben: Giovanni Squillero, Paolo Burelli
- Verlag: Springer-Verlag GmbH
- ISBN-10: 3319312049
- ISBN-13: 9783319312040
- Erscheinungsdatum: 22.03.2016
Abhängig von Bildschirmgröße und eingestellter Schriftgröße kann die Seitenzahl auf Ihrem Lesegerät variieren.
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- Größe: 53 MB
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