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OL
2011
332views Neural Networks» more  OL 2011»
14 years 9 months ago
A robust implementation of a sequential quadratic programming algorithm with successive error restoration
We consider sequential quadratic programming (SQP) methods for solving constrained nonlinear programming problems. It is generally believed that SQP methods are sensitive to the a...
Klaus Schittkowski
IEEEARES
2010
IEEE
15 years 4 months ago
Improving Network Intrusion Detection by Means of Domain-Aware Genetic Programming
—One of the central areas in network intrusion detection is how to build effective systems that are able to distinguish normal from intrusive traffic. In this paper we explore t...
Jorge Blasco Alís, Agustín Orfila, A...
CSC
2006
15 years 3 months ago
An Algorithm to Solve a Linear Program
: This work is about an algorithm for solving a linear program which is simple to apply. There are three algorithms in this work. The first algorithm solves a two-variable linear p...
Rajan Alex
MACH
1993
15 years 3 months ago
MIKE: A Distributed object-oriented programming platform on top of the Mach micro-kernel
This paper describes the architecture and implementation of MIKE - a version of the IK distributed persistent object-oriented programming platform built on top of the Mach microke...
Miguel Castro, Nuno Neves, Pedro Trancuso, Pedro S...
116
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GECCO
2008
Springer
123views Optimization» more  GECCO 2008»
15 years 3 months ago
MLS security policy evolution with genetic programming
In the early days a policy was a set of simple rules with a clear intuitive motivation that could be formalised to good effect. However the world is becoming much more complex. S...
Yow Tzu Lim, Pau-Chen Cheng, Pankaj Rohatgi, John ...