Sciweavers

GECCO
2008
Springer
160views Optimization» more  GECCO 2008»
13 years 6 months ago
Self-managing agents for dynamic scheduling in manufacturing
The main purpose of this paper is to propose a Multi-Agent Autonomic and Bio-Inspired based framework with selfmanaging capabilities to solve complex scheduling problems using coo...
Ana Madureira, Filipe Santos, Ivo Pereira
GECCO
2008
Springer
115views Optimization» more  GECCO 2008»
13 years 6 months ago
Applicability of genetic algorithms to reconstruction of projected data from ultrasonic tomography
In this paper simulation studies of the ultrasound computerized tomography (CT) technique employing time of flight data is presented. An enhanced genetic algorithm based reconstru...
Shyam P. Kodali, Sunith Bandaru, Kalyanmoy Deb, Pr...
GECCO
2008
Springer
165views Optimization» more  GECCO 2008»
13 years 6 months ago
Multiple sequence alignment using a GLOCSA guided genetic algorithm
This paper introduces GLOCSA as a new scoring function to rate multiple sequence alignments. It is intended to be simple, considering the whole alignment at once and reflecting t...
Edgar David Arenas-Díaz, Helga Ochoterena-B...
GECCO
2008
Springer
104views Optimization» more  GECCO 2008»
13 years 6 months ago
Understanding elementary landscapes
The landscape formalism unites a finite candidate solution set to a neighborhood topology and an objective function. This construct can be used to model the behavior of local sea...
Darrell Whitley, Andrew M. Sutton, Adele E. Howe
GECCO
2008
Springer
122views Optimization» more  GECCO 2008»
13 years 6 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...
GECCO
2008
Springer
175views Optimization» more  GECCO 2008»
13 years 6 months ago
Using differential evolution for symbolic regression and numerical constant creation
One problem that has plagued Genetic Programming (GP) and its derivatives is numerical constant creation. Given a mathematical formula expressed as a tree structure, the leaf node...
Brian M. Cerny, Peter C. Nelson, Chi Zhou
GECCO
2008
Springer
132views Optimization» more  GECCO 2008»
13 years 6 months ago
Subheuristic search and scalability in a hyperheuristic
Our previous work has introduced a hyperheuristic (HH) approach based on Genetic Programming (GP). There, GP employs usergiven languages where domain-specific local heuristics ar...
Robert E. Keller, Riccardo Poli
GECCO
2008
Springer
163views Optimization» more  GECCO 2008»
13 years 6 months ago
Embedded evolutionary multi-objective optimization for worst case robustness
In Multi-Objective Problems (MOPs) involving uncertainty, each solution might be associated with a cluster of performances in the objective space depending on the possible scenari...
Gideon Avigad, Jürgen Branke
GECCO
2008
Springer
232views Optimization» more  GECCO 2008»
13 years 6 months ago
An efficient SVM-GA feature selection model for large healthcare databases
This paper presents an efficient hybrid feature selection model based on Support Vector Machine (SVM) and Genetic Algorithm (GA) for large healthcare databases. Even though SVM an...
Rick Chow, Wei Zhong, Michael Blackmon, Richard St...
GECCO
2008
Springer
121views Optimization» more  GECCO 2008»
13 years 6 months ago
Fast rule representation for continuous attributes in genetics-based machine learning
Genetic-Based Machine Learning Systems (GBML) are comparable in accuracy with other learning methods. However, efficiency is a significant drawback. This paper presents a new rep...
Jaume Bacardit, Natalio Krasnogor