Resource scheduling strategy for optimizing genetic algorithms in cloud computing environment

Resource scheduling strategy for optimizing genetic algorithms in cloud computing environment

Chongyang

Resource scheduling is the core problem of cloud computing, although traditional genetic algorithm can be used for resource scheduling in cloud computing environment, but because traditional genetic algorithm has the characteristics of slow convergence and easy precocity, this algorithm is not suitable for intensive task scheduling under the clustering environment. Based on this, we propose a resource scheduling strategy for optimizing genetic algorithms in cloud computing environment to make up for the shortcomings of traditional genetic algorithms. This paper mainly discusses the concept of cloud computing and how to optimize the resource scheduling strategy of genetic algorithm.

Resource scheduling strategy for optimizing genetic algorithms in cloud computing environment