AMOSA with Analytical Tuning Parameters for Heterogeneous Computing Scheduling Problem

José Carlos Soto Monterrubio
José Carlos Soto Monterrubio
Juan Javier González Barbosa
Juan Javier González Barbosa
Guadalupe Castilla Valdez
Guadalupe Castilla Valdez

Nature-Inspired Design of Hybrid Intelligent Systems, pp. 701-711, 2017.

Cited by: 0|Bibtex|Views5|Links
EI

Abstract:

In this paper, the analytical parameter tuning for the Archive Multi-objective Simulated Annealing (AMOSA) is described. The analytical tuning method yields the initial and final temperature, and the maximum metropolis length. The analytically tuned AMOSA is used to solve the Heterogeneous Computing Scheduling Problem with independent tas...More

Code:

Data:

Your rating :
0

 

Tags
Comments