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» On the Brittleness of Evolutionary Algorithms
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GECCO
2003
Springer
100views Optimization» more  GECCO 2003»
15 years 3 months ago
Studying the Advantages of a Messy Evolutionary Algorithm for Natural Language Tagging
The process of labeling each word in a sentence with one of its lexical categories (noun, verb, etc) is called tagging and is a key step in parsing and many other language processi...
Lourdes Araujo
GPEM
2010
89views more  GPEM 2010»
14 years 8 months ago
Variable population size and evolution acceleration: a case study with a parallel evolutionary algorithm
Abstract With current developments of parallel and distributed computing, evolutionary algorithms have benefited considerably from parallelization techniques. Besides improved com...
Ting Hu, Simon Harding, Wolfgang Banzhaf
GECCO
2003
Springer
15 years 3 months ago
A Case for Codons in Evolutionary Algorithms
A new method is developed for representation and encoding in population-based evolutionary algorithms. The method is inspired by the biological genetic code and utilizes a many-to-...
Joshua Gilbert, Margaret J. Eppstein
FLAIRS
2004
14 years 11 months ago
Indirect Encoding Evolutionary Learning Algorithm for the Multilayer Morphological Perceptron
This article describes an indirectly encoded evolutionary learning algorithm to train morphological neural networks. The indirect encoding method is an algorithm in which the trai...
Jorge L. Ortiz, Roberto Piñeiro
EMO
2006
Springer
117views Optimization» more  EMO 2006»
15 years 23 hour ago
Multiplex PCR Assay Design by Hybrid Multiobjective Evolutionary Algorithm
Abstract. Multiplex Polymerase Chain Reaction (PCR) assay is to amplify multiple target DNAs simultaneously using different primer pairs for each target DNA. Recently, it is widely...
In-Hee Lee, Soo-Yong Shin, Byoung-Tak Zhang