Prediction of Protein Structure using Parallel Genetic Algorithm
نویسندگان
چکیده
منابع مشابه
Parallel Genetic Algorithm Using Algorithmic Skeleton
Algorithmic skeleton has received attention as an efficient method of parallel programming in recent years. Using the method, the programmer can implement parallel programs easily. In this study, a set of efficient algorithmic skeletons is introduced for use in implementing parallel genetic algorithm (PGA).A performance modelis derived for each skeleton that makes the comparison of skeletons po...
متن کاملParallel Genetic Algorithm Using Algorithmic Skeleton
Algorithmic skeleton has received attention as an efficient method of parallel programming in recent years. Using the method, the programmer can implement parallel programs easily. In this study, a set of efficient algorithmic skeletons is introduced for use in implementing parallel genetic algorithm (PGA).A performance modelis derived for each skeleton that makes the comparison of skeletons po...
متن کاملAb-Initio Protein Tertiary Structure Prediction Using Genetic Algorithm
Proteins are vital components of all living cells and play a critical role in almost all biological processes. Protein structure identification is a significant challenging problem in computational biology. The Protein's three-dimensional (i.e., tertiary) molecular structure reflects its proper function. Therefore, the identification of protein structure is a significant step towards understand...
متن کاملStatic Task Allocation in Distributed Systems Using Parallel Genetic Algorithm
Over the past two decades, PC speeds have increased from a few instructions per second to several million instructions per second. The tremendous speed of today's networks as well as the increasing need for high-performance systems has made researchers interested in parallel and distributed computing. The rapid growth of distributed systems has led to a variety of problems. Task allocation is a...
متن کاملA parallel hybrid genetic algorithm for protein structure prediction on the computational grid
Solving the structure prediction problem for complex proteins is difficult and computationally expensive. In this paper, we propose a bicriterion parallel hybrid genetic algorithm (GA) in order to efficiently deal with the problem using the computational grid. The use of a near-optimal metaheuristic, such as a GA, allows a significant reduction in the number of explored potential structures. Ho...
متن کاملذخیره در منابع من
با ذخیره ی این منبع در منابع من، دسترسی به آن را برای استفاده های بعدی آسان تر کنید
ژورنال
عنوان ژورنال: International Journal of Computer Applications
سال: 2013
ISSN: 0975-8887
DOI: 10.5120/14054-1781