All submissions of the EM system will be redirected to Online Manuscript Submission System. Authors are requested to submit articles directly to Online Manuscript Submission System of respective journal.

Abstract

The novel genetic algorithm to the grid resource assignment problem

Author(s): Guo-Ping Zou

In the fields of science, engineering and commercial computer, there are many problems that we cannot use existing super computer to solve. For this reason, a novel genetic algorithm is proposed to the grid resource assignment problem. The improved genetic algorithm extracts the heuristic feedback from these obtained solutions, and applies the heuristic feedback to guide the subsequent optimization process. Experimental results suggest that this approach is efficient to the resource optimization problem


Share this       
Awards Nomination

Table of Contents

Google Scholar citation report
Citations : 875

BioTechnology: An Indian Journal received 875 citations as per Google Scholar report

Indexed In

  • CASS
  • Google Scholar
  • Open J Gate
  • China National Knowledge Infrastructure (CNKI)
  • CiteFactor
  • Cosmos IF
  • Directory of Research Journal Indexing (DRJI)
  • Secret Search Engine Labs
  • Euro Pub
  • ICMJE

View More

Flyer