NDLI: A solution to protein folding problem using a genetic algorithm with modified keep best reproduction strategy

Content Provider	IEEE Xplore Digital Library
Author	Judy, M.V. Ravichandran, K.S.
Copyright Year	2007
Description	Author affiliation: SASTRA Univ., Thanjavur (Judy, M.V.)
Abstract	Genetic algorithms have proved to be a successful method for predicting the protein structure. In this paper, we propose a new intermediate selection strategy for genetic algorithms and we implement it for protein folding problem. In a standard genetic algorithm the children replace their parents. The idea behind this is that both parents pass on their good genetic material to their children. In practice however, children can have worse fitness than their parents. We therefore propose another intermediate selection step, which we call as modified keep-best reproduction (MKBR) that ensures that new genetic information is entered into the gene pool, as well as good previous genetic material is being preserved. We have demonstrated the superiority of modified keep-best reproduction on several instances of the protein-folding problem, which not only finds the optimum solution, but also finds them faster than the standard generational replacement schemes.
Starting Page	4776
Ending Page	4780
File Size	176069
Page Count	5
File Format	PDF
ISBN	9781424413393
DOI	10.1109/CEC.2007.4425099
Language	English
Publisher	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Publisher Date	2007-09-25
Publisher Place	Singapore
Access Restriction	Subscribed
Rights Holder	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Subject Keyword	Proteins Genetic algorithms Amino acids Lattices Predictive models Spine Potential energy Thermodynamics Joining processes
Content Type	Text
Resource Type	Article

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