NDLI: Partially computed fitness function based genetic algorithm for hydrophobic-hydrophilic model

Content Provider	IEEE Xplore Digital Library
Author	Hoque, M.T. Madhu Chetty Dooley, L.S.
Copyright Year	2005
Description	Author affiliation: Monash Univ., Churchill, Vic., Australia (Hoque, M.T.; Madhu Chetty; Dooley, L.S.)
Abstract	Fitness computation after each crossover or mutation operation in genetic algorithm (GA) requires computational time that increases with the increasing length of the chromosome. In this paper, an efficient GA is proposed for protein folding prediction based on the hydrophobic-hydrophilic (HP) model. The partial fitness of the parent computed from one end of sequence till crossover or mutation point is utilized for the computation of the fitness of the child. The calculated value of the partial fitness is stored with the corresponding chromosome. Although the approach requires additional memory for each hydrophobic residue of each chromosome, the computation time is reduced significantly, which is more important than the memory overhead.
Starting Page	291
Ending Page	296
File Size	229970
Page Count	6
File Format	PDF
ISBN	0769522912
DOI	10.1109/ICHIS.2004.73
Language	English
Publisher	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Publisher Date	2004-12-05
Publisher Place	Japan
Access Restriction	Subscribed
Rights Holder	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Subject Keyword	Genetic mutations Lattices Predictive models Amino acids Electronic mail Information technology Biological cells Genetic algorithms Proteins genetic algorithm hydrophobic-hydrophilic residue protein folding Australia Partial fitness
Content Type	Text
Resource Type	Article

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