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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

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