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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: | 9781509051052 |
| Appears in Collections: | Artículos de investigación |
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