Zobrazeno 1 - 10
of 59
pro vyhledávání: '"Kang Li-shan"'
Autor:
Kang Li-shan, Liu Min-zhong
Publikováno v:
Wuhan University Journal of Natural Sciences. 11:520-524
We introduce a new dynamical evolutionary algorithm (DEA) based on the theory of statistical mechanics and investigate the reconstruction problem for the nonlinear dynamical systems using observation data. The convergence of the algorithm is discusse
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::c614633bf74a8f4cec15a9a98aa796b2
https://doi.org/10.1007/bf02836656
https://doi.org/10.1007/bf02836656
Publikováno v:
International Journal of Computer Mathematics. 81:675-684
This article introduces a new evolutionary algorithm for multi-modal function optimization called ZEDS (zoomed evolutionary dual strategy). ZEDS employs a two-step, zoomed (global to local), evolutionary approach. In the first (global) step, an impro
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::8886eeba6fe9e9c2de56363e1db8e3d3
https://doi.org/10.1080/00207160410001712260
https://doi.org/10.1080/00207160410001712260
Publikováno v:
Wuhan University Journal of Natural Sciences. 8:234-238
The mid-long term hydrology forecasting is one of most challenging problems in hydrological studies. This paper proposes an efficient dynamical system prediction model using evolutionary computation techniques. The new model overcomes some disadvanta
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::691879f7979e1d9caecfcec80544aae3
https://doi.org/10.1007/bf02899485
https://doi.org/10.1007/bf02899485
Autor:
Kang Li-shan, Zhang Jian
Publikováno v:
Wuhan University Journal of Natural Sciences. 8:269-278
In this paper, we propose a new algorithm for wireless mobile and ad-hoc network, which establishes dynamic cluster of nodes. The proposed algorithm, namely, the Mobility Sensitive Routing Protocol (MSRP), consists of routing in cluster and routing b
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::32b2d9aa30b4d136617df6000e1d55ee
https://doi.org/10.1007/bf02899492
https://doi.org/10.1007/bf02899492
Publikováno v:
Wuhan University Journal of Natural Sciences. 8:297-302
In this paper, the applications of evolutionary al gorithm in prediction of protein secondary structure and tertiary structures are introduced, and recent studies on solving protein structure prediction problems using evolutionary algorithms are revi
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::ca27c3127e87137e6ff5878b795d3b3f
https://doi.org/10.1007/bf02899497
https://doi.org/10.1007/bf02899497
Publikováno v:
Wuhan University Journal of Natural Sciences. 8:253-258
This paper presents a parallel two-level evolutionary algorithm based on domain decomposition for solving function optimization problem containing multiple solutions. By combining the characteristics of the global search and local search in each sub-
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::7f07c86e97cdf663183a34cb8c1eb435
https://doi.org/10.1007/bf02899489
https://doi.org/10.1007/bf02899489
Publikováno v:
Wuhan University Journal of Natural Sciences. 8:229-233
First, an asynchronous distributed parallel evolutionary modeling algorithm (PEMA) for building the model of system of ordinary differential equations for dynamical systems is proposed in this paper. Then a series of parallel experiments have been co
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::84d0ab5844cdf560a0d5339f824133be
https://doi.org/10.1007/bf02899484
https://doi.org/10.1007/bf02899484
Publikováno v:
Wuhan University Journal of Natural Sciences. 8:207-211
Multi-objective optimal evolutionary algorithms (MOEAs) are a kind of new effective algorithms to solve Multi-objective optimal problem (MOP). Because ranking, a method which is used by most MOEAs to solve MOP, has some shortcomings, in this paper, w
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::ad652c853ae45559dbef7d864ac683b9
https://doi.org/10.1007/bf02899480
https://doi.org/10.1007/bf02899480
Publikováno v:
Wuhan University Journal of Natural Sciences. 8:183-188
A fast algorithm is proposed to solve a kind of high complexity multi-objective problems in this paper. It takes advantages of both the orthogonal design method to search evenly, and the statistical optimal method to speed up the computation. It is v
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::6b0108ad7a4c4d5696af269fac9bea11
https://doi.org/10.1007/bf02899476
https://doi.org/10.1007/bf02899476
Autor:
Kang Li-shan, Chen Wen-ping
Publikováno v:
Wuhan University Journal of Natural Sciences. 8:202-206
Multi-objective optimization is a new focus of evolutionary computation research. This paper puts forward a new algorithm, which can not only converge quickly, but also keep diversity among population efficiently, in order to find the Pareto-optimal
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::df15b0e6b47dc0d3b1ecb8fbc1f084f0
https://doi.org/10.1007/bf02899479
https://doi.org/10.1007/bf02899479