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h5 指数:27
h5 中位数:48

h5 指数是指在过去整整 5 年中所发表文章的 h 指数。h 指在 2018-2022 年间发表的 h 篇文章每篇至少都被引用过 h 次的最大值。隐藏

出版物的 h5 中位数，是指出版物的 h5 指数所涵盖的所有文章获得的引用次数的中位值。隐藏

#8 Evolutionary Computation

标题/作者	引用次数	年份
Automated Algorithm Selection: Survey and Perspectives P Kerschke, HH Hoos, F Neumann, H Trautmann Evolutionary Computation 27 (1), 3-45	337	2019
How to Specify a Reference Point in Hypervolume Calculation for Fair Performance Comparison H Ishibuchi, R Imada, Y Setoguchi, Y Nojima Evolutionary Computation 26 (3), 411-440	152	2018
Automated Algorithm Selection on Continuous Black-Box Problems by Combining Exploratory Landscape Analysis and Machine Learning P Kerschke, H Trautmann Evolutionary Computation 27 (1), 99-127	138	2019
Difficulty Adjustable and Scalable Constrained Multiobjective Test Problem Toolkit Z Fan, W Li, X Cai, H Li, C Wei, Q Zhang, K Deb, E Goodman Evolutionary Computation 28 (3), 339-378	111	2020
What Weights Work for You? Adapting Weights for Any Pareto Front Shape in Decomposition-Based Evolutionary Multiobjective Optimisation M Li, X Yao Evolutionary Computation 28 (2), 227-253	86	2020
Data-Efficient Design Exploration through Surrogate-Assisted Illumination A Gaier, A Asteroth, JB Mouret Evolutionary Computation 26 (3), 381-410	66	2018
Leveraging TSP Solver Complementarity through Machine Learning P Kerschke, L Kotthoff, J Bossek, HH Hoos, H Trautmann Evolutionary Computation 26 (4), 597-620	64	2018
A Probabilistic and Multi-Objective Analysis of Lexicase Selection and ε-Lexicase Selection W La Cava, T Helmuth, L Spector, JH Moore Evolutionary Computation 27 (3), 377-402	61	2019
A Hybrid Genetic Programming Algorithm for Automated Design of Dispatching Rules S Nguyen, Y Mei, B Xue, M Zhang Evolutionary Computation 27 (3), 467-496	59	2019
Evolution of Deep Convolutional Neural Networks Using Cartesian Genetic Programming M Suganuma, M Kobayashi, S Shirakawa, T Nagao Evolutionary Computation 28 (1), 141-163	58	2020
A New Algorithm Using the Non-Dominated Tree to Improve Non-Dominated Sorting P Gustavsson, A Syberfeldt Evolutionary Computation 26 (1), 89-116	54	2018
Analyzing Evolutionary Optimization in Noisy Environments C Qian, Y Yu, ZH Zhou Evolutionary Computation 26 (1), 1-41	53	2018
Improving Model-Based Genetic Programming for Symbolic Regression of Small Expressions M Virgolin, T Alderliesten, C Witteveen, PAN Bosman Evolutionary Computation 29 (2), 211-237	51	2021
Using Hadoop MapReduce for Parallel Genetic Algorithms: A Comparison of the Global, Grid and Island Models F Ferrucci, P Salza, F Sarro Evolutionary Computation 26 (4), 535-567	48	2018
Gaussian Process Surrogate Models for the CMA Evolution Strategy L Bajer, Z Pitra, J Repický, M Holeňa Evolutionary Computation 27 (4), 665-697	47	2019
Cooperative Coevolution with Formula-Based Variable Grouping for Large-Scale Global Optimization Y Wang, H Liu, F Wei, T Zong, X Li Evolutionary Computation 26 (4), 569-596	46	2018
On the Effectiveness of Sampling for Evolutionary Optimization in Noisy Environments C Qian, Y Yu, K Tang, Y Jin, X Yao, ZH Zhou Evolutionary Computation 26 (2), 237-267	45	2018
Diagonal Acceleration for Covariance Matrix Adaptation Evolution Strategies Y Akimoto, N Hansen Evolutionary Computation 28 (3), 405-435	39	2020
A Predictive-Reactive Approach with Genetic Programming and Cooperative Coevolution for the Uncertain Capacitated Arc Routing Problem Y Liu, Y Mei, M Zhang, Z Zhang Evolutionary Computation 28 (2), 289-316	38	2020
A Large-Scale Experimental Evaluation of High-Performing Multi-and Many-Objective Evolutionary Algorithms LCT Bezerra, M López-Ibáñez, T Stützle Evolutionary Computation 26 (4), 621-656	38	2018

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