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HIS
2008
13 years 6 months ago
Bio-Inspired Parameter Tunning of MLP Networks for Gene Expression Analysis
The performance of Artificial Neural Networks is largely influenced by the value of their parameters. Among these free parameters, one can mention those related with the network a...
André L. D. Rossi, André C. P. L. F....
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
CEC
2007
IEEE
13 years 11 months ago
Comparing bio-inspired algorithms in constrained optimization problems
Abstract— This paper presents a comparison of four bioinspired algorithms (all seen as search engines) with a similar constraint-handling mechanism (Deb’s feasibility rules) to...
Efrén Mezura-Montes, Blanca Cecilia Lopez-R...
GECCO
2010
Springer
172views Optimization» more  GECCO 2010»
13 years 9 months ago
Biogeography-based optimization with blended migration for constrained optimization problems
Biogeography-based optimization (BBO) is a new evolutionary algorithm based on the science of biogeography. We propose two extensions to BBO. First, we propose blended migration. ...
Haiping Ma, Dan Simon
GECCO
2004
Springer
131views Optimization» more  GECCO 2004»
13 years 10 months ago
Comparing Discrete and Continuous Genotypes on the Constrained Portfolio Selection Problem
In financial engineering the problem of portfolio selection has drawn much attention in the last decades. But still unsolved problems remain, while on the one hand the type of mod...
Felix Streichert, Holger Ulmer, Andreas Zell