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h5 指数:68
h5 中位数:108

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

#4 Evolutionary Computation

标题/作者	引用次数	年份
A novel nature-inspired algorithm for optimization: Squirrel search algorithm M Jain, V Singh, A Rani Swarm and Evolutionary Computation 44, 148-175	443	2019
A survey of swarm intelligence for dynamic optimization: Algorithms and applications M Mavrovouniotis, C Li, S Yang Swarm and Evolutionary Computation 33, 1-17	427	2017
Bio-inspired computation: Where we stand and what's next J Del Ser, E Osaba, D Molina, XS Yang, S Salcedo-Sanz, D Camacho, ... Swarm and Evolutionary Computation 48, 220-250	317	2019
A novel Random Walk Grey Wolf Optimizer S Gupta, K Deep Swarm and Evolutionary Computation 44, 101-112	216	2019
A comprehensive survey: Whale Optimization Algorithm and its applications FS Gharehchopogh, H Gholizadeh Swarm and Evolutionary Computation 48, 1-24	215	2019
Differential Evolution: A survey of theoretical analyses KR Opara, J Arabas Swarm and Evolutionary Computation 44, 546-558	185	2019
Recent trends in the use of statistical tests for comparing swarm and evolutionary computing algorithms: Practical guidelines and a critical review J Carrasco, S García, MM Rueda, S Das, F Herrera Swarm and Evolutionary Computation 54, 100665	175	2020
A survey on multi-objective evolutionary algorithms for the solution of the environmental/economic dispatch problems BY Qu, YS Zhu, YC Jiao, MY Wu, PN Suganthan, JJ Liang Swarm and Evolutionary Computation 38, 1-11	172	2018
A hybrid algorithm using ant and bee colony optimization for feature selection and classification (AC-ABC Hybrid) P Shunmugapriya, S Kanmani Swarm and Evolutionary Computation 36, 27-36	167	2017
Review of Differential Evolution population size AP Piotrowski Swarm and Evolutionary Computation 32, 1-24	166	2017
MPSO: Modified particle swarm optimization and its applications D Tian, Z Shi Swarm and Evolutionary Computation 41, 49-68	164	2018
Opposition based learning: A literature review S Mahdavi, S Rahnamayan, K Deb Swarm and Evolutionary Computation 39, 1-23	162	2018
Particle swarm optimization of deep neural networks architectures for image classification FEF Junior, GG Yen Swarm and Evolutionary Computation 49, 62-74	156	2019
A self-adaptive multi-population based Jaya algorithm for engineering optimization RV Rao, A Saroj Swarm and Evolutionary Computation 37, 1-26	156	2017
A competitive memetic algorithm for multi-objective distributed permutation flow shop scheduling problem J Deng, L Wang Swarm and Evolutionary Computation 32, 121-131	155	2017
Fuzzy Self-Tuning PSO: A settings-free algorithm for global optimization MS Nobile, P Cazzaniga, D Besozzi, R Colombo, G Mauri, G Pasi Swarm and Evolutionary Computation 39, 70-85	155	2018
Adaptive population extremal optimization-based PID neural network for multivariable nonlinear control systems GQ Zeng, XQ Xie, MR Chen, J Weng Swarm and Evolutionary Computation 44, 320-334	151	2019
A comprehensive survey on gravitational search algorithm E Rashedi, E Rashedi, H Nezamabadi-pour Swarm and Evolutionary Computation 41, 141-158	144	2018
Algorithmic design issues in adaptive differential evolution schemes: Review and taxonomy RD Al-Dabbagh, F Neri, N Idris, MS Baba Swarm and Evolutionary Computation 43, 284-311	139	2018
Ensemble strategies for population-based optimization algorithms–A survey G Wu, R Mallipeddi, PN Suganthan Swarm and Evolutionary Computation 44, 695-711	138	2019

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