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GECCO
2008
Springer
199views Optimization» more  GECCO 2008»
15 years 4 months ago
Analysis of multi-objective evolutionary algorithms to optimize dynamic data types in embedded systems
New multimedia embedded applications are increasingly dynamic, and rely on Dynamically-allocated Data Types (DDTs) to store their data. The optimization of DDTs for each target em...
José Ignacio Hidalgo, José L. Risco-...
122
Voted
CEC
2010
IEEE
15 years 1 months ago
Beating the 'world champion' evolutionary algorithm via REVAC tuning
Abstract-- We present a case study demonstrating that using the REVAC parameter tuning method we can greatly improve the `world champion' EA (the winner of the CEC2005 competi...
Selmar K. Smit, A. E. Eiben
128
Voted
EVOW
2007
Springer
15 years 9 months ago
Unsupervised Evolutionary Segmentation Algorithm Based on Texture Analysis
Abstract. This work describes an evolutionary approach to texture segmentation, a long-standing and important problem in computer vision. The difficulty of the problem can be relat...
Cynthia B. Pérez, Gustavo Olague
ICARIS
2007
Springer
15 years 9 months ago
An Artificial Immune System-Inspired Multiobjective Evolutionary Algorithm with Application to the Detection of Distributed Comp
Today’s signature-based intrusion detection systems are reactive in nature and storage-limited. Their operation depends upon catching an instance of an intrusion or virus and en...
Charles R. Haag, Gary B. Lamont, Paul D. Williams,...
107
Voted
CEC
2005
IEEE
15 years 9 months ago
A new representation in evolutionary algorithms for the optimization of bioprocesses
AbstractEvolutionary Algorithms (EAs) have been used to achieve optimal feedforward control in a number of fedbatch fermentation processes. Typically, the optimization purpose is t...
Miguel Rocha, Isabel Rocha, Eugénio C. Ferr...