Improved Crow Search Optimization for Multiprocessor Task Scheduling: A Novel Approach

2019 ◽  
pp. 1-13 ◽  
Author(s):  
Ronali Madhusmita Sahoo ◽  
Sasmita Kumari Padhy
Keyword(s):  
Task Scheduling ◽  
Search Optimization ◽  
Novel Approach ◽  
Multiprocessor Task Scheduling

scholarly journals Genetic algorithms and multiprocessor task scheduling: A systematic literature review

2019 ◽  
Author(s):  
Eduardo Silva ◽  
Paulo Gabriel
Keyword(s):  
Systematic Review ◽  
Genetic Algorithms ◽  
Literature Review ◽  
Impact Factor ◽  
Task Scheduling ◽  
Systematic Literature Review ◽  
Meta Analysis ◽  
Scheduling Problem ◽  
Review Of The Literature ◽  
Multiprocessor Task Scheduling

This paper reports a systematic review of the literature about genetic algorithms applied to the multiprocessor task scheduling problem. After defining a protocol with the main rules of this review, the research was performed considering journal papers published between 1990 and 2018. At the end of this process, 37 works were recovered and analyzed. By performing a meta-analysis, a variety of information was extracted and summarized, including impact factor, Eigenfactor score, scenarios considered, optimization metrics, volume of citations, and others.

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