An efficient meta-heuristic algorithm for grid computing
A grid computing system consists of a group of programs and resources that are spread
across machines in the grid. A grid system has a dynamic environment and decentralized …
across machines in the grid. A grid system has a dynamic environment and decentralized …
[图书][B] Real-world applications of genetic algorithms
O Roeva - 2012 - books.google.com
The book addresses some of the most recent issues, with the theoretical and methodological
aspects, of evolutionary multi-objective optimization problems and the various design …
aspects, of evolutionary multi-objective optimization problems and the various design …
Genetic algorithm-based tabu search for optimal energy-aware allocation of data center resources
Cloud computing delivers practical solutions for long-term image archiving systems. Cloud
data centers consume enormous amounts of electrical energy that increases their …
data centers consume enormous amounts of electrical energy that increases their …
GLOA: a new job scheduling algorithm for grid computing
The purpose of grid computing is to produce a virtual supercomputer by using free resources
available through widespread networks such as the Internet. This resource distribution …
available through widespread networks such as the Internet. This resource distribution …
Design and implementation of fuzzy priority deadline job scheduling algorithm in heterogeneous grid computing
CD Sundar Rajan - Journal of Ambient Intelligence and Humanized …, 2021 - Springer
In heterogeneous distributed computing system, huge amount of attention is attracted by
task scheduling process in recent days. Scheduling of task is an important problem, where …
task scheduling process in recent days. Scheduling of task is an important problem, where …
A survey on dynamic job scheduling in grid environment based on heuristic algorithms
D Thilagavathi, AS Thanamani - arXiv preprint arXiv:1402.5205, 2014 - arxiv.org
Computational Grids are a new trend in distributed computing systems. They allow the
sharing of geographically distributed resources in an efficient way, extending the boundaries …
sharing of geographically distributed resources in an efficient way, extending the boundaries …
Meta-heuristics based load balancing algorithms in grid and clouds-a review
GK Brar, A Chhabra - 2016 International Conference on …, 2016 - ieeexplore.ieee.org
Cloud computing is an innovative technology that mainly relies on sharing of computing
resources, data as well as information over the internet. Cloud computing has been evolved …
resources, data as well as information over the internet. Cloud computing has been evolved …
ACO and GA for Parameter Settings of E. coli Fed-Batch Cultivation Model
E. coli plays significant role in modern biological engineering and industrial microbiology. In
this paper the Ant Colony Optimization algorithm and Genetic algorithm are proposed for …
this paper the Ant Colony Optimization algorithm and Genetic algorithm are proposed for …
A comparison of simulated annealing and genetic algorithm approaches for cultivation model identification
O Roeva - Monte Carlo Methods and Applications, 2012 - degruyter.com
Simulated annealing (SA) and genetic algorithms (GA) are two stochastic methods that are
currently in wide use for solving difficult optimization problems. These algorithms are often …
currently in wide use for solving difficult optimization problems. These algorithms are often …
[PDF][PDF] A java prototype implementation of coordination for heterogeneous, distributed, and parallel programming
H Wu, CC Chiang - International Journal of Software Engineering and Its …, 2012 - Citeseer
Writing parallel programs is not a simple task. Especially, writing parallel programs for a
heterogeneous computing environment is even more difficult. Programs written in different …
heterogeneous computing environment is even more difficult. Programs written in different …