Recording Evolution Supervised by a Genetic Algorithm for Quantitative Structure-Activity Relationship Optimization
A genetic algorithm for structure-activity relationships optimization was developed and implemented. The genetic algorithm was designed to be feed with families of molecular descriptors, and was tested on Molecular Descriptors Family. The objective of the genetic algorithm was to optimize the multip...
| Main Authors: | , , |
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| Format: | Article |
| Language: | English |
| Published: |
Iuliu Hatieganu University of Medicine and Pharmacy, Cluj-Napoca
2010-06-01
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| Series: | Applied Medical Informatics |
| Subjects: | |
| Online Access: | http://ami.info.umfcluj.ro/Full-text/AMI_26_2010/AMI%2826%29_089_100.pdf |