Task scheduling of cloud computing based on hybrid particle swarm algorithm and genetic algorithm

2021 ◽  
Author(s):  
Xueliang Fu ◽  
Yang Sun ◽  
Haifang Wang ◽  
Honghui Li
Keyword(s):  
Genetic Algorithm ◽  
Cloud Computing ◽  
Task Scheduling ◽  
Particle Swarm ◽  
Particle Swarm Algorithm ◽  
Hybrid Particle ◽  
Swarm Algorithm

Hybrid Particle Swarm Algorithm for Solving Multiprocessor Problem

2011 ◽  
Vol 66-68 ◽  
pp. 966-972
Author(s):  
Feng Shan Pan ◽  
Chun Ming Ye ◽  
Xiao Hua Sheng
Keyword(s):  
Genetic Algorithm ◽  
Genetic Algorithms ◽  
Particle Swarm ◽  
Particle Swarm Algorithm ◽  
Hybrid Particle ◽  
Multiple Processors ◽  
Simulation Results ◽  
Swarm Algorithm ◽  
Two Machines

Multiprocessor problem signifies that there are at least one process produced at more than two machines, which increases the difficulty and complexity of the problem. Hybrid particle swarm algorithm is adopted to solve the problem of multiprocessor in this paper.Through the redesigning parameters and programming, the final result is compared with that of genetic algorithm in conferences. The simulation results indicate that Hybrid particle swarm algorithm for solving multiple processors problem is better that of using genetic algorithms.

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