A cooperative coevolutionary genetic programming hyper-heuristic for multi-objective makespan and cost optimization in cloud workflow scheduling-Reference-Cited by-同舟云学术

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A cooperative coevolutionary genetic programming hyper-heuristic for multi-objective makespan and cost optimization in cloud workflow scheduling

Published:2024-12 Issue: Volume:172 Page:106805
ISSN:0305-0548
Container-title:Computers & Operations Research
language:en
Short-container-title:Computers & Operations Research

Author:

Zaki Tomás,Zeiträg Yannik^ORCID,Neves Rui^ORCID,Figueira José Rui

Funder

European Commission

Ministério da Ciência Tecnologia e Ensino Superior

Fundação para a Ciência e a Tecnologia

Publisher

Elsevier BV

Reference79 articles.

1. Task scheduling in cloud computing based on hybrid moth search algorithm and differential evolution;Abd Elaziz;Knowl.-Based Syst.,2019

2. A hyper-heuristic cost optimisation approach for scientific workflow scheduling in cloud computing;Alkhanak;Future Gener. Comput. Syst.,2018

3. Heuristic initialization of PSO task scheduling algorithm in cloud computing;Alsaidy;J. King Saud Univ.-Comput. Inf. Sci.,2022

4. List scheduling algorithm for heterogeneous systems by an optimistic cost table;Arabnejad;IEEE Trans. Parallel Distrib. Syst.,2013

5. Characterization of scientific workflows;Bharathi,2008

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