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FP-AK-QIEAR-ℝ in protein folding application | IEEE Conference Publication | IEEE Xplore

FP-AK-QIEAR-ℝ in protein folding application


Abstract:

There are many Evolutionary Algorithms which main features are: population, evolutionary operations (crossover, mate, mutation and others). Most of them are based on rand...Show More

Abstract:

There are many Evolutionary Algorithms which main features are: population, evolutionary operations (crossover, mate, mutation and others). Most of them are based on randomness and follow a criteria using fitness like selector. The proposal uses probability density function according to best of initial population to sample new population and save better individuals iteratively. Then using centroid criteria sample for every dimension and get better individuals. It had good results with benchmark functions. A real application was performed with experiments in protein folding and it showed good results.
Date of Conference: 02-04 November 2016
Date Added to IEEE Xplore: 27 March 2017
ISBN Information:
Conference Location: Cartagena, Colombia

References

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