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» Removing the Genetics from the Standard Genetic Algorithm
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CSB
2005
IEEE
132views Bioinformatics» more  CSB 2005»
14 years 11 months ago
A Fast Shotgun Assembly Heuristic
Genome sequencing opened a new era in genetics allowing the study of genomes at the nucleotide level. However, the chosen method of sequencing produced large numbers of nucleotide...
Christopher Wilks, Sami Khuri
DAGM
2008
Springer
14 years 11 months ago
An Evolutionary Approach for Learning Motion Class Patterns
This article presents a genetic learning algorithm to derive discrete patterns that can be used for classification and retrieval of 3D motion capture data. Based on boolean motion ...
Meinard Müller, Bastian Demuth, Bodo Rosenhah...
AIPRF
2008
14 years 11 months ago
Internal vs. External Parameters in Fitness Functions
A fitness function is needed for a Genetic Algorithm (GA) to work, and it appears natural that the combination of objectives and constraints into a single scalar function using ar...
Pedro A. Diaz-Gomez, Dean F. Hougen
ICONIP
2007
14 years 11 months ago
Finding Exploratory Rewards by Embodied Evolution and Constrained Reinforcement Learning in the Cyber Rodents
The aim of the Cyber Rodent project [1] is to elucidate the origin of our reward and affective systems by building artificial agents that share the natural biological constraints...
Eiji Uchibe, Kenji Doya
AIPS
2003
14 years 11 months ago
A Multi-Heuristic GA for Schedule Repair in Precast Plant Production
A multi-heuristic schedule repair model for schedule conflict resolution is presented and its application in repairing the schedules of a prefabrication plant is described in this...
Weng Tat Chan, Tan Heng Wee