Title :
A hybrid genetic algorithm application to a genetics sequencing problem
Author :
Walker, J.D. ; Miller, Christopher J.
Author_Institution :
Dept. of Math. & Comput. Sci., Dundee Inst. of Technol.
fDate :
2/28/1994 12:00:00 AM
Abstract :
Map building is an example of a difficult sequencing problem which requires some form of search to find a good solution from a large problem space of feasible solutions. The authors describe the development of a hybrid genetic algorithm (HGA) suitable for tackling the problem. The results of applying the HGA to a set of map data are presented
Keywords :
DNA; biology computing; cellular biophysics; genetic algorithms; learning (artificial intelligence); macromolecular configurations; molecular biophysics; search problems; DNA maps; artificial intelligence; genetics sequencing problem; hybrid genetic algorithm; set of map data;
Conference_Titel :
Molecular Bioinformatics, IEE Colloquium on
