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Titlebook: Applications of Evolutionary Computation; 20th European Confer Giovanni Squillero,Kevin Sim Conference proceedings 2017 Springer Internatio

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期刊全稱Applications of Evolutionary Computation
期刊簡稱20th European Confer
影響因子2023Giovanni Squillero,Kevin Sim
視頻videohttp://file.papertrans.cn/160/159391/159391.mp4
發(fā)行地址Includes supplementary material:
學(xué)科分類Lecture Notes in Computer Science
圖書封面Titlebook: Applications of Evolutionary Computation; 20th European Confer Giovanni Squillero,Kevin Sim Conference proceedings 2017 Springer Internatio
影響因子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 con
Pindex Conference proceedings 2017
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Solving Dynamic Graph Coloring Problem Using Dynamic Pool Based Evolutionary Algorithm our algorithm with a well known heuristic for solving the graph coloring problem and a genetic algorithm with a dynamic population using a large number of dynamic graphs. The experimental evaluation indicates that our algorithm outperforms these algorithms with respect to number of colors used by t
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0302-9743 and pattern recognition), EvoINDUSTRY (nature-inspired techniques in industrial settings), EvoKNOW (knowledge incorporation in evolutionary computation), EvoNUM (bio-inspired algorithms for con978-3-319-55791-5978-3-319-55792-2Series ISSN 0302-9743 Series E-ISSN 1611-3349
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Sabrina De Capitani di Vimercatin that access to the source code is not available and testing is only possible via the GUI. Even at this preliminary stage, the analysis shows the potential of GP to evolve action selection mechanisms.
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