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» Genetic algorithms using low-discrepancy sequences
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GECCO
2008
Springer
135views Optimization» more  GECCO 2008»
13 years 6 months ago
Evolving sequence patterns for prediction of sub-cellular locations of eukaryotic proteins
A genetic algorithm (GA) is utilised to discover known and novel PROSITE-like sequence templates that can be used to classify the sub-cellular location of eukaryotic proteins. Whi...
Greg Paperin
ESWA
2007
100views more  ESWA 2007»
13 years 5 months ago
Using memetic algorithms with guided local search to solve assembly sequence planning
The goal of assembly planning consists in generating feasible sequences to assemble a product and selecting an efficient assembly sequence from which related constraint factors su...
Hwai-En Tseng, Wen-Pai Wang, Hsun-Yi Shih
TITS
2008
106views more  TITS 2008»
13 years 5 months ago
Binary-Representation-Based Genetic Algorithm for Aircraft Arrival Sequencing and Scheduling
Arrival sequencing and scheduling (ASS) at airports is an NP-hard problem. Much effort has been made to use permutation-representation-based genetic algorithms (GAs) to tackle this...
Xiao-Bing Hu, Ezequiel A. Di Paolo
ICST
2010
IEEE
13 years 3 months ago
Repairing GUI Test Suites Using a Genetic Algorithm
—Recent advances in automated functional testing of Graphical User Interfaces (GUIs) rely on deriving graph models that approximate all possible sequences of events that may be e...
Si Huang, Myra B. Cohen, Atif M. Memon
IPPS
2006
IEEE
13 years 11 months ago
Multiple sequence alignment by quantum genetic algorithm
In this paper we describe a new approach for the well known problem in bioinformatics: Multiple Sequence Alignment (MSA). MSA is fundamental task as it represents an essential pla...
L. Abdesslem, M. Soham, B. Mohamed