Please use this identifier to cite or link to this item:
http://hdl.handle.net/UCSP/15787| Title: | Multiprocessor task scheduling on heterogeneous environments by a Hybrid Chemical Reactions Optimization |
| Authors: | Núñez-Humán, Jonathan Alexander Túpac Valdivia, Yván Jesús |
| Keywords: | Artificial intelligence;Chemical reactions;Distributed computer systems;Hybrid systems;Multiprocessing systems;Multitasking;Scheduling algorithms;Heterogeneous environments;Multi processor systems;Multiprocessor task scheduling;Optimization |
| Issue Date: | 2017 |
| Publisher: | Institute of Electrical and Electronics Engineers Inc. |
| metadata.dc.relation.uri: | https://www.scopus.com/inward/record.uri?eid=2-s2.0-85018168579&doi=10.1109%2fLA-CCI.2016.7885737&partnerID=40&md5=09a86933f7e48881b9a7e24fd1df25f4 |
| Abstract: | This work presents the modeling and implementation of a Hybrid Chemical Reactions Optimization that uses CRO operators to find good solutions, and heuristics to initialize the first population and mapping tasks in processors to solve the Multiprocessor task scheduling problem, taking into account the heterogeneity of the multiprocessor system. © 2016 IEEE. |
| URI: | http://repositorio.ucsp.edu.pe/handle/UCSP/15787 |
| ISBN: | urn:isbn:9781509051052 |
| Appears in Collections: | Artículos - Ciencia de la computación |
Files in This Item:
There are no files associated with this item.
Items in DSpace are protected by copyright, with all rights reserved, unless otherwise indicated.