Applications of Evolutionary Computation [electronic resource] : 20th European Conference, EvoApplications 2017, Amsterdam, The Netherlands, April 19-21, 2017, Proceedings, Part II / edited by Giovanni Squillero, Kevin Sim.Material type: TextLanguage: English Series: Lecture Notes in Computer Science: 10200Publisher: Cham : Springer International Publishing : Imprint: Springer, 2017Description: XXIV, 243 p. 57 illus. online resourceContent type: text Media type: computer Carrier type: online resourceISBN: 9783319557922Subject(s): Computer science | Logic design | Microprocessors | Special purpose computers | Architecture, Computer | Algorithms | Artificial intelligence | Computer Science | Algorithm Analysis and Problem Complexity | Artificial Intelligence (incl. Robotics) | Special Purpose and Application-Based Systems | Computer System Implementation | Processor Architectures | Logic DesignAdditional physical formats: Printed edition:: No titleDDC classification: 005.1 LOC classification: QA76.9.A43Online resources: Click here to access online
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). .