Zobrazeno 1 - 10
of 127
pro vyhledávání: '"IEEE Congress on Evolutionary Computation"'
Publikováno v:
IEEE Transactions on Systems, Man, and Cybernetics: Systems. 52:769-785
Evolutionary algorithms and swarm intelligence algorithms have been widely used for constrained optimization problems for decades and numerous techniques for constraint handling have been proposed. The e-constrained method is a very effective one. In
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::b6af1f597f98a5c06c0d1d9993e0748d
https://doi.org/10.1109/tsmc.2020.3010120
https://doi.org/10.1109/tsmc.2020.3010120
Publikováno v:
IEEE/CAA Journal of Automatica Sinica. 9:99-110
Some recent research reports that a dendritic neuron model (DNM) can achieve better performance than traditional artificial neuron networks (ANNs) on classification, prediction, and other problems when its parameters are well-tuned by a learning algo
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::cf087da8c9908da92fa5cbf0cdeb7eba
https://doi.org/10.1109/jas.2021.1004284
https://doi.org/10.1109/jas.2021.1004284
Autor:
Jacek Mańdziuk, Hussein A. Abbass
Publikováno v:
IEEE Computational Intelligence Magazine. 16:5-8
Presents information on the 2021 IEEE Congress on Evolutionary Computation (IEEE CEC 2021).
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::1b51d536e6bdb722556b88013c0667d0
https://doi.org/10.1109/mci.2021.3108355
https://doi.org/10.1109/mci.2021.3108355
Publikováno v:
IEEE Transactions on Evolutionary Computation. 25:779-793
In the last decade, many evolutionary computation (EC) algorithms with diversity enhancement have been proposed to solve large-scale optimization problems in big data era. Among them, the social learning particle swarm optimization (SLPSO) has shown
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::4958677a514f97f05a59e11e64ff9a0d
https://doi.org/10.1109/tevc.2021.3065659
https://doi.org/10.1109/tevc.2021.3065659
Publikováno v:
Complex & Intelligent Systems. 7:2415-2436
Brain storm optimization (BSO) is an emerging global optimization algorithm. The primary idea is to divide the population into different clusters, and offspring are generated within a cluster or between two clusters. However, the problems of ineffici
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::474ef59045414fef87a71314e998d05a
https://doi.org/10.1007/s40747-021-00404-y
https://doi.org/10.1007/s40747-021-00404-y
Autor:
Erik Cuevas, Bernardo Morales-Castañeda, Arturo Valdivia-G, Daniel Zaldivar, Marco Pérez-Cisneros, Alma Rodríguez, Octavio Camarena, Itzel Aranguren
Publikováno v:
Applied Mathematical Modelling. 93:226-243
Grey Wolf Optimizer represents a relatively new metaheuristic scheme for solving continuous optimization problems. In spite of its interesting characteristics, it presents several flaws such as lack of accuracy, low diversity, premature convergence a
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::60f8cb9f0acde2d9831ddaa9e3973476
https://doi.org/10.1016/j.apm.2020.12.016
https://doi.org/10.1016/j.apm.2020.12.016
Autor:
Haopeng Zhang
Publikováno v:
Soft Computing. 25:8325-8335
In this paper, a cooperative bat searching algorithm (CBA) is proposed by using a communication topology to share information among all the bats in bat algorithm (BA). Inspired by the cooperation mechanism in the distributed control theory, a coopera
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::1b7843bb30bcc4480f3735fb386371f9
https://doi.org/10.1007/s00500-021-05755-9
https://doi.org/10.1007/s00500-021-05755-9
Publikováno v:
Information Sciences. 552:201-219
For real parameter single objective optimization, Differential Evolution (DE) performs better than other types of population-based metaheuristic. Nevertheless, in the field of DE, it is impossible for a given combination of operators to perform well
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::d7b203ea8114322de0aa3d341351c3ab
https://doi.org/10.1016/j.ins.2020.11.055
https://doi.org/10.1016/j.ins.2020.11.055
Publikováno v:
IEEE Transactions on Cybernetics. 51:1175-1188
Large-scale optimization has become a significant and challenging research topic in the evolutionary computation (EC) community. Although many improved EC algorithms have been proposed for large-scale optimization, the slow convergence in the huge se
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::b5461d456e95a118cd775413c0dd278e
https://doi.org/10.1109/tcyb.2020.2977956
https://doi.org/10.1109/tcyb.2020.2977956
Publikováno v:
Mathematical Problems in Engineering, Vol 2021 (2021)
In the last two decades, the field of global optimization has become very active, and, in this regard, many deterministic and stochastic algorithms were developed for solving various optimization problems. Among them, swarm intelligence (SI) is a sto
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::25fc0a9b2d141302fe4f96f632644fd2
https://doi.org/10.1155/2021/6636918
https://doi.org/10.1155/2021/6636918