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» An Introduction to Evolutionary Programming
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PPSN
2004
Springer
15 years 2 months ago
Constrained Evolutionary Optimization by Approximate Ranking and Surrogate Models
Abstract. The paper describes an evolutionary algorithm for the general nonlinear programming problem using a surrogate model. Surrogate models are used in optimization when model ...
Thomas Philip Runarsson
AICOM
2006
105views more  AICOM 2006»
14 years 9 months ago
Evolutionary concept learning in First Order Logic: An overview
This paper presents an overview of recent systems for Inductive Logic Programming (ILP). After a short description of the two popular ILP systems FOIL and Progol, we focus on meth...
Federico Divina
JOT
2010
125views more  JOT 2010»
14 years 8 months ago
Enhancing NetBeans with Transparent Fault Tolerance Using Meta-Level Architecture
In component-based systems, fault-tolerance concerns are typically handled by manually programmed fault containers. The purpose of fault containers is to prevent error propagation...
Martin Rytter, Bo Nørregaard Jørgens...
BMCBI
2010
138views more  BMCBI 2010»
14 years 9 months ago
Sigma-2: Multiple sequence alignment of non-coding DNA via an evolutionary model
Background: While most multiple sequence alignment programs expect that all or most of their input is known to be homologous, and penalise insertions and deletions, this is not a ...
Gayathri Jayaraman, Rahul Siddharthan
ICTAI
2006
IEEE
15 years 3 months ago
Intelligent Optimization via Learnable Evolution Model
A new method for optimizing complex functions and systems is described that employs Learnable Evolution Model (LEM), a form of non-Darwinian evolutionary computation guided by mac...
Ryszard S. Michalski, Janusz Wojtusiak, Kenneth A....