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Proceedings of IEEE International Conference on Evolutionary Computation, 2002
These last years two global optimizations methods hybridizing Evolutionary Algorithms (EA, but mainly GA) with hill-climbing methods have been investigated. The first one involves two interwoven levels of optimization: Evolution (EA) and Individual Learning (hill-climbing), which cooperate in the global optimization process.
Gregory Seront, Hugues Bersini
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These last years two global optimizations methods hybridizing Evolutionary Algorithms (EA, but mainly GA) with hill-climbing methods have been investigated. The first one involves two interwoven levels of optimization: Evolution (EA) and Individual Learning (hill-climbing), which cooperate in the global optimization process.
Gregory Seront, Hugues Bersini
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Discretization schemes for hybrid methods
IEEE Transactions on Magnetics, 2001In this paper several original discretization strategies for hybrid finite element and integral methods are presented, using two-dimensional magnetostatics as an example. The hybrid formulations are first derived, all making use of equivalent sources.
Geuzaine, Christophe +3 more
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A Hybrid Method for Intrusion Detection
2015 IEEE 14th International Conference on Machine Learning and Applications (ICMLA), 2015Intrusion Detection Systems (IDSs) are used to detect malicious actions on information systems such as computing and networking systems. Abnormal behaviors or activities on the network systems could be detected by security systems. But, conventional security systems such as anti-virus and firewall cannot be successful in many malicious actions.
SAĞIROĞLU, ŞEREF, Canbay, Yavuz
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On Hybrid Semi-Iterative Methods
SIAM Journal on Numerical Analysis, 1989The paper is devoted to the solution of large sparse systems of linear algebraic equations \(x=Tx+c\) via hybrid semi-iterative methods (SIM). The basic idea consists in transforming \(x=Tx+c\) into the equivalent linear system \(x=\tilde Tx+\tilde c\) by means of some complex polynomial \(t_ n(z)\) of degree n, with \(t_ n(1)=1\), and then applying ...
Eiermann, Michael +2 more
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SIAM Review, 1976
The purpose of this paper is to show how Lagrange multipliers can be used with finite elements to achieve a number of desirable properties in the underlying approximation. For elliptic boundary value problems, variational principles can be developed in which all boundary conditions are natural.
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The purpose of this paper is to show how Lagrange multipliers can be used with finite elements to achieve a number of desirable properties in the underlying approximation. For elliptic boundary value problems, variational principles can be developed in which all boundary conditions are natural.
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A hybrid parameterization method for NURBS
Proceedings. International Conference on Computer Graphics, Imaging and Visualization, 2004. CGIV 2004., 2004The problem of the parameterization of data points in NURBS curve/surface has been considered by amount of researchers. In this study, a new parameterization method considered as hybrid parameterization method is proposed. Like universal method, this method uses the property of "at each span index, there is exactly one maximum value of the rational B ...
Shamsuddin, Siti Mariyam +1 more
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A Hybrid Method for Feature Generation
1991Abstract Existing approaches to constructive induction have been largely empirical, starting with structural features and combining them successively into higher level features. This paper describes a hybrid analytical/empirical method for feature generation for inductive concept learning.
Tom Fawcett, Paul E. Utgoff
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On a hybrid boundary element method
Numerische Mathematik, 2000The author provides a fairly rigorous and elegant numerical analysis of a hybrid boundary element method which is already in use in some applications. He combines the advantages of the direct and indirect boundary integral formulations, furnishes a stability condition and the subsequent error estimate.
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