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Titlebook: Applications of Evolutionary Computation; 23rd European Confer Pedro A. Castillo,Juan Luis Jiménez Laredo,Francis Conference proceedings 20

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期刊全稱Applications of Evolutionary Computation
期刊簡稱23rd European Confer
影響因子2023Pedro A. Castillo,Juan Luis Jiménez Laredo,Francis
視頻videohttp://file.papertrans.cn/160/159405/159405.mp4
學(xué)科分類Lecture Notes in Computer Science
圖書封面Titlebook: Applications of Evolutionary Computation; 23rd European Confer Pedro A. Castillo,Juan Luis Jiménez Laredo,Francis Conference proceedings 20
影響因子.This book constitutes the refereed proceedings of the 23rd European Conference on Applications of Evolutionary Computation, EvoApplications 2020, held as part of Evo*2020, in Seville, Spain, in April 2020, co-located with the Evo*2020 events EuroGP, EvoMUSART and EvoCOP..The 44 full papers presented in this book were carefully reviewed and selected from 62 submissions. The papers cover a wide spectrum of topics, ranging from applications of bio-inspired techniques on social networks, evolutionary computation in digital healthcare and personalized medicine, soft-computing applied to games, applications of deep-bioinspired algorithms, parallel and distributed systems, and evolutionary machine learning.?.
Pindex Conference proceedings 2020
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Joshua D. Reuther,Ben A. Pottertors. In its original definition Pattern Search moves along the directions of each variable. Amongst its advantages, the algorithm does not require any knowledge of derivatives or analytical expression of the function to optimise. However, the performance of Pattern Search is heavily problem depende
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William H. Casey,C. André Ohlin events are allowed and which ones should be forbidden. In this work we propose a way to automatically obtain rules that generalise these single-event based rules using Genetic Programming (GP), which, besides, should be able to present them in an understandable way. Our GP-based system obtains good
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Encyclopedia of Earth Sciences Seriesetworks (LONs) that model the global structure of search spaces, STNs model the search trajectories of algorithms. Unlike LONs, the nodes of the network are not restricted to local optima but instead represent a given state of the search process. Edges represent search progression between consecutiv
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Dennis Odijk,Peter J. G. Teunissenogies by crossover and mutation. Within this system we compare two approaches to creating good controllers, i.e., evolution only and evolution plus learning. In the first one the controller of a robot child is inherited, so that it is produced by applying crossover and mutation to the controllers of
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Alfvén, Hannes Olof G?sta (1908–1995) aspect that affects the safety and efficiency of urban traffic is the configuration of traffic lights and junctions. Here, we propose a general framework, based on a realistic urban traffic simulator, SUMO, to aid city planners to optimize traffic lights, based on a customized version of NSGA-II. W
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