Zobrazeno 1 - 10
of 10
pro vyhledávání: '"Jiao-hong Yi"'
Publikováno v:
IEEE Access, Vol 7, Pp 173774-173785 (2019)
As an important and novel model with multitudinous practical applications, the set-union knapsack problem (SUKP) is a challenging issue in combinatorial optimization. In this paper, we present an enhanced moth search algorithm (EMS) for solving SUKP,
Externí odkaz:
https://doaj.org/article/7fd44c7834b24c22b7e294a584409426
Publikováno v:
Algorithms, Vol 8, Iss 4, Pp 951-964 (2015)
As one of the most popular and well-recognized clustering methods, fuzzy C-means (FCM) clustering algorithm is the basis of other fuzzy clustering analysis methods in theory and application respects. However, FCM algorithm is essentially a local sear
Externí odkaz:
https://doaj.org/article/2a05a3a17e31461fb032881febd327cb
Publikováno v:
Advances in Mechanical Engineering, Vol 8 (2016)
Probabilistic neural network has successfully solved all kinds of engineering problems in various fields since it is proposed. In probabilistic neural network, Spread has great influence on its performance, and probabilistic neural network will gener
Externí odkaz:
https://doaj.org/article/180f1270dc9448e0aab5d3fda336ca2c
Publikováno v:
The Scientific World Journal, Vol 2014 (2014)
The traditional Back Propagation (BP) has some significant disadvantages, such as training too slowly, easiness to fall into local minima, and sensitivity of the initial weights and bias. In order to overcome these shortcomings, an improved BP networ
Externí odkaz:
https://doaj.org/article/16712c310ede409aa4c868133d8549f2
Autor:
Amir H. Alavi, Lining Xing, Junyu Dong, Gai-Ge Wang, Jiao-Hong Yi, Athanasios V. Vasilakos, Ling Wang
Publikováno v:
Information Sciences. 509:470-487
Traditional multi-objective optimization evolutionary algorithms (MOEAs) do not usually meet the requirements for online data processing because of their high computational costs. This drawback has resulted in difficulties in the deployment of MOEAs
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::60fb7675b0aa7f0a678031515901f992
https://doi.org/10.1016/j.ins.2018.10.005
https://doi.org/10.1016/j.ins.2018.10.005
Publikováno v:
Open Geosciences, Vol 11, Iss 1, Pp 391-413 (2019)
China has one of the highest rates of natural disasters in the world. In recent years, the Chinese government has placed a high value on improving emergency natural disaster relief. The goal of this research was to resolve a key issue for emergency n
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::df8892888b9caadc4533330c4a340bf6
https://doaj.org/article/0a193a0323d541e4a6e5aff65c2adc57
https://doaj.org/article/0a193a0323d541e4a6e5aff65c2adc57
Publikováno v:
Future Generation Computer Systems. 88:571-585
One of the major challenges of solving Big Data optimization problems via traditional multi-objective evolutionary algorithms (MOEAs) is their high computational costs. This issue has been efficiently tackled by non-dominated sorting genetic algorith
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::80ea547593a11c2033e6c461c2d9d72a
https://doi.org/10.1016/j.future.2018.06.008
https://doi.org/10.1016/j.future.2018.06.008
Autor:
Jiao-Hong Yi, Heqi Wang
Publikováno v:
Memetic Computing. 10:177-198
This study presents a robust optimization algorithm based on hybridization of krill herd (KH) and artificial bee colony (ABC) methods and the information exchange concept. The global optimal solutions found by the proposed hybrid KH and ABC (KHABC) a
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::213d6b01c3c76d834558e8139599d688
https://doi.org/10.1007/s12293-017-0241-6
https://doi.org/10.1007/s12293-017-0241-6
Publikováno v:
International Journal of Bio-Inspired Computation. 15:75
As a complicated high-dimensional optimisation problem, path planning navigation problem for uninhabited combat air vehicles (UCAV) is to obtain a shortest safe flight route with different types of constrains under complicated combating environments.
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::53a2a53691b11a960888f2c9d001aee1
https://doi.org/10.1504/ijbic.2020.10028001
https://doi.org/10.1504/ijbic.2020.10028001
Publikováno v:
The Scientific World Journal, Vol 2014 (2014)
The Scientific World Journal
The Scientific World Journal
The traditional Back Propagation (BP) has some significant disadvantages, such as training too slowly, easiness to fall into local minima, and sensitivity of the initial weights and bias. In order to overcome these shortcomings, an improved BP networ
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::c38ddd92ab9d892668586a45621102e9
https://doaj.org/article/16712c310ede409aa4c868133d8549f2
https://doaj.org/article/16712c310ede409aa4c868133d8549f2