Applications of Evolutionary Computation / Lecture Notes in Computer Science Bd.9598 (PDF)
19th European Conference, EvoApplications 2016, Porto, Portugal, March 30 -- April 1, 2016, Proceedings, Part II
(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.9598 (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, 329 Seiten, Englisch
- Herausgegeben: Giovanni Squillero, Paolo Burelli
- Verlag: Springer-Verlag GmbH
- ISBN-10: 3319311530
- ISBN-13: 9783319311531
- Erscheinungsdatum: 24.03.2016
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- Größe: 18 MB
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