Zobrazeno 1 - 10
of 14
pro vyhledávání: '"Dexin, Cao"'
Autor:
Qiu Hong Huang, Dexin Cao
Publikováno v:
Advanced Materials Research. :1011-1015
A numerical method is proposed for solving a sort of constrained continuous minimax problem, in which both the objective function and the constraint functions are continuously differentiable about superior decision variables and are continuous about
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::c24975d04930e2a3b7395b976a5508e5
https://doi.org/10.4028/www.scientific.net/amr.532-533.1011
https://doi.org/10.4028/www.scientific.net/amr.532-533.1011
Autor:
Haijun Wang, Dexin Cao
Publikováno v:
Applied Mathematics and Computation. 212:153-161
An interval expansion method is presented to find the solution of nonlinear equation in several variables with guaranteed accuracy. In this method, the existence theorem for the solution of nonlinear equation is obtained by using two newly defined op
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::4772961ee09a5b4daa0f876e33b67c5e
https://doi.org/10.1016/j.amc.2009.02.008
https://doi.org/10.1016/j.amc.2009.02.008
Publikováno v:
Natural Science. :151-155
Particle Swarm Optimization (PSO) is a new optimization algorithm, which is applied in many fields widely. But the original PSO is likely to cause the local optimization with premature convergence phenomenon. By using the idea of simulated annealing
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::265ccfeb71a18c41c1e1398fba26523f
https://doi.org/10.4236/ns.2009.12019
https://doi.org/10.4236/ns.2009.12019
Publikováno v:
Applied Mathematics and Computation. 196:594-602
An interval method for a class of min–max–min problems is described in this paper, in which the objective functions are Lipschitz continuous. The convergence of algorithm is proved, numerical results from a Turbo B implementation of the algorithm
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::b6ec6447f8184d72bc118f830c6dbf41
https://doi.org/10.1016/j.amc.2007.06.026
https://doi.org/10.1016/j.amc.2007.06.026
Publikováno v:
2010 International Conference on Computational Intelligence and Software Engineering.
In this paper, based on D. X. Cao[Numerical Mathematics A Journal of Chinese Universities, 2002, 24(4): 359-365], an interval algorithm is developed for finding all global solutions of the unconstrained continuous minimax problems, in which the objec
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::09ed2ba11bffaff2b76c15dc20d5f31d
https://doi.org/10.1109/cise.2010.5677080
https://doi.org/10.1109/cise.2010.5677080
Publikováno v:
CSO (2)
This paper presents a new mixed equilibrium traffic assignment model for transportation networks with advanced traveler information systems (ATIS) under demand and supply uncertainties. Uncertainties in demand and supply simultaneously cause the trav
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::49a355bf52ecbdb8b6030cd0dce5a35f
https://doi.org/10.1109/cso.2009.265
https://doi.org/10.1109/cso.2009.265
Publikováno v:
2009 International Joint Conference on Computational Sciences & Optimization; 2009, p132-136, 5p
Publikováno v:
Procedia Engineering. :979-985
An interval maximum-entropy method for a kind of unconstrained min-max-min problem is described, where the constituent objective functions are C1. We transform this problem into a differentiable optimization problem using the maximum-entropy function
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::fb6f45481bfb9891aa91c2ac9c5f455e
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