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TEC
2008
98views more  TEC 2008»
15 years 3 months ago
Opposition-Based Differential Evolution
Evolutionary Algorithms (EAs) are well-known optimization approaches to cope with non-linear, complex problems. These population-based algorithms, however, suffer from a general we...
Shahryar Rahnamayan, Hamid R. Tizhoosh, Magdy M. A...
129
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GECCO
2006
Springer
124views Optimization» more  GECCO 2006»
15 years 7 months ago
On evolving buffer overflow attacks using genetic programming
In this work, we employed genetic programming to evolve a "white hat" attacker; that is to say, we evolve variants of an attack with the objective of providing better de...
Hilmi Günes Kayacik, Malcolm I. Heywood, A. N...
EUROGP
2009
Springer
119views Optimization» more  EUROGP 2009»
15 years 9 months ago
Comparison of CGP and Age-Layered CGP Performance in Image Operator Evolution
This paper analyses the efficiency of the Cartesian Genetic Programming (CGP) methodology in the image operator design problem at the functional level. The CGP algorithm is compare...
Karel Slaný
ANTSW
2006
Springer
15 years 7 months ago
An Estimation of Distribution Particle Swarm Optimization Algorithm
Abstract. In this paper we present an estimation of distribution particle swarm optimization algorithm that borrows ideas from recent developments in ant colony optimization. In th...
Mudassar Iqbal, Marco Antonio Montes de Oca
GECCO
2008
Springer
122views Optimization» more  GECCO 2008»
15 years 4 months ago
Varying portfolio construction of stocks using genetic network programming with control nodes
A new evolutionary method named “Genetic Network Programming with Control Nodes, GNPcn” has been proposed and applied to determine the timing of buying and selling stocks. GNP...
Etsushi Ohkawa, Yan Chen, Shingo Mabu, Kaoru Shima...