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Applications of Evolutionary Computation: 20th European Conference, EvoApplications 2017, Proceedings Part II

Squillero, Giovanni and Sim, Kevin and Ascheid, Gerd and Bacardit, Jaume and Brabazon, Anthony and Burelli, Paolo and Cagnoni, Stefano and Coler, Matt and Cotta, Carlos and D'Andreagiovanni, Fabio and Divina, Federico and Esparcia-Alcazar, Anna I. and De Vega, Francisco Fernandez and Glette, Kyrre and Haasdijk, Evert and Heinerman, Jacqueline and Hidalgo, J. Ignacio and Hu, Ting and Iacca, Giovanni and Kampouridis, Michael and Kaufmann, Paul and Mavrovouniotis, Michalis and Mora García, Antonio M. and Nguyen, Trung Thanh and Schaefer, Robert and Silva, Sara and Tarantino, Ernesto and Tonda, Alberto and Urquhart, Neil and Zhang, Mengjie, eds. (2017) Applications of Evolutionary Computation: 20th European Conference, EvoApplications 2017, Proceedings Part II. Lecture Notes in Computer Science, 10200 . Springer ISBN 978-3-319-55791-5. (doi:10.1007/978-3-319-55792-2)

Abstract

The two volumes LNCS 10199 and 10200 constitute the refereed conference proceedings of the 20th European Conference on the Applications of Evolutionary Computation, EvoApplications 2017, held in Amsterdam, The Netherlands, in April 2017, colocated with the Evo* 2016 events EuroGP, EvoCOP, and EvoMUSART.

The 46 revised full papers presented together with 26 poster papers were carefully reviewed and selected from 108 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), EvoKNOW (knowledge incorporation in evolutionary computation), EvoNUM (bio-inspired algorithms for continuous parameter optimization), EvoPAR (parallel implementation of evolutionary algorithms), EvoROBOT (evolutionary robotics), EvoSET (nature-inspired algorithms in software engineering and testing), and EvoSTOC (evolutionary algorithms in stochastic and dynamic environments).

Item Type: Edited book
DOI/Identification number: 10.1007/978-3-319-55792-2
Subjects: Q Science > Q Science (General) > Q335 Artificial intelligence
Divisions: Faculties > Sciences > School of Computing > Computational Intelligence Group
Faculties > Sciences > School of Computing > Data Science
Depositing User: Michael Kampouridis
Date Deposited: 29 Nov 2018 12:36 UTC
Last Modified: 10 Sep 2019 15:23 UTC
Resource URI: https://kar.kent.ac.uk/id/eprint/70455 (The current URI for this page, for reference purposes)
Kampouridis, Michael: https://orcid.org/0000-0003-0047-7565
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