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» Removing the Genetics from the Standard Genetic Algorithm
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ACIVS
2009
Springer
15 years 2 months ago
Engineering of Computer Vision Algorithms Using Evolutionary Algorithms
Abstract. Computer vision algorithms are currently developed by looking up the available operators from the literature and then arranging those operators such that the desired task...
Marc Ebner
CISIM
2008
IEEE
15 years 4 months ago
Evolution Induced Secondary Immunity: An Artificial Immune System Based Intrusion Detection System
The analogy between Immune Systems and Intrusion Detection Systems encourage the use of Artificial Immune Systems for anomaly detection in computer networks. This paper describes ...
Divyata Dal, Siby Abraham, Ajith Abraham, Sugata S...
PPSN
1994
Springer
15 years 2 months ago
RPL2: A Language and Parallel Framework for Evolutionary Computing
The Reproductive Plan Language 2 (RPL2) is an extensible interpreted language for writing and using evolutionary computing programs. It supports arbitrary genetic representations,...
Patrick D. Surry, Nicholas J. Radcliffe
GECCO
2006
Springer
153views Optimization» more  GECCO 2006»
15 years 1 months ago
Analysis of the difficulty of learning goal-scoring behaviour for robot soccer
Learning goal-scoring behaviour from scratch for simulated robot soccer is considered to be a very difficult problem, and is often achieved by endowing players with an innate set ...
Jeff Riley, Victor Ciesielski
HIS
2004
14 years 11 months ago
K-Ranked Covariance Based Missing Values Estimation for Microarray Data Classification
Microarray data often contains multiple missing genetic expression values that degrade the performance of statistical and machine learning algorithms. This paper presents a K rank...
Muhammad Shoaib B. Sehgal, Iqbal Gondal, Laurence ...