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Applied Computational Intelligence and Soft Computing
Volume 2019, Article ID 6543957, 15 pages
Research Article

Learning Based Genetic Algorithm for Task Graph Scheduling

Department of Computer Science, Faculty of Mathematical Sciences, University of Tabriz, Tabriz, Iran

Correspondence should be addressed to Habib Izadkhah;

Received 20 May 2018; Revised 29 October 2018; Accepted 20 November 2018; Published 3 February 2019

Academic Editor: Yangming Li

Copyright © 2019 Habib Izadkhah. This is an open access article distributed under the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.

Citations to this Article [1 citation]

The following is the list of published articles that have cited the current article.

  • S. Saroja, and T. Revathi, “Hybrid dual-objective parallel genetic algorithm for heterogeneous multiprocessor scheduling,” Cluster Computing, 2019. View at Publisher · View at Google Scholar