Mapping of Genetic Algorithms for Protein Folding onto Computational Grids

2005 ◽  
Author(s):  
Weiguo Liu ◽  
Bertil Schmidt
Keyword(s):  
Genetic Algorithms ◽  
Protein Folding ◽  
Computational Grids

Using Genetic Algorithm for Scheduling Tasks of Computational Grids in the Gridsim Simulator

2014 ◽  
pp. 521-535
Author(s):  
João Phellipe ◽  
Carla Katarina ◽  
Francisco das Chagas ◽  
Dario Aloise
Keyword(s):  
Genetic Algorithm ◽  
Genetic Algorithms ◽  
Distributed System ◽  
Task Scheduling ◽  
Computational Grid ◽  
Computer Processing ◽  
Computational Grids ◽  
Processing Power

Computer processing power has evolved considerably in recent years. However, there are problems that still require many machines to perform a large amount of processing in a parallel and distributed way. In this context, the task scheduling in a distributed system present many algorithms. In this chapter, the authors present a scheduler based on genetic algorithms in order to distribute tasks more efficiently in a computational grid; it has been implemented in GRIDSIM, a computational grid simulator with the features and attributes of a real grid.

scholarly journals Semi-deterministic and genetic algorithms for global optimization of microfluidic protein-folding devices

2006 ◽  
Vol 66 (2) ◽  
pp. 319-333 ◽  
Author(s):  
Benjamin Ivorra ◽  
David E. Hertzog ◽  
Bijan Mohammadi ◽  
Juan G. Santiago
Keyword(s):  
Genetic Algorithms ◽  
Protein Folding ◽  
Global Optimization
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