Multiprocessor Fair Scheduling Based on an Improved Slime Mold Algorithm

Multiprocessor Fair Scheduling Based on an Improved Slime Mold Algorithm

An improved slime mold algorithm (IMSMA) is presented in this paper for a multiprocessor multitask fair scheduling problem, which aims to reduce the average processing time. An initial population strategy based on Bernoulli mapping reverse learning is proposed for the slime mold algorithm. A Cauchy...

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Bibliographic Details
Main Authors: Manli Dai, Zhongyi Jiang
Format: Article
Language:English
Published: MDPI AG 2023-10-01
Series:Algorithms
Subjects:
slime mold algorithm
fair scheduling
Bernoulli mapping
reverse learning
Cauchy mutation
Online Access:https://www.mdpi.com/1999-4893/16/10/473

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