Title: Research on multi-objective workflow rapid scheduling based on improved heuristic algorithm

Authors: Fangfang Liu; Xin Lv; Jing Wang

Addresses: Changchun College of Electronic Technology, Changchun 130000, China ' Changchun College of Electronic Technology, Changchun 130000, China ' Changchun College of Electronic Technology, Changchun 130000, China

Abstract: Aiming at the problems of low efficiency and poor scheduling effect of traditional multi-objective workflow scheduling methods, a multi-objective workflow rapid scheduling method based on improved heuristic algorithm is designed. Firstly, the mode of multi-objective workflow and determine the scheduling task of multi-objective workflow is analysed. Then, a directed acyclic graph is constructed to model complex multi-objective workflow tasks, determine the interdependency between task flows, and determine the priority of tasks. Finally, the heuristic algorithm is improved by using the elite solution of fitness value in the population. Based on the improved progressive heuristic algorithm, the task sequence of multi-objective workflow scheduling is updated, and the value of update parameters is determined according to the set random step size, and the constraint conditions are set to complete the multi-objective workflow scheduling. The experimental results show that the maximum scheduling time is 3.8 s and the maximum scheduling error is less than 2%.

Keywords: improved heuristic algorithm; multi objective; workflow scheduling; directed acyclic graph; objective function; random step size.

DOI: 10.1504/IJIMS.2023.135009

International Journal of Internet Manufacturing and Services, 2023 Vol.9 No.4, pp.474 - 486

Received: 13 Jul 2022
Accepted: 04 Sep 2022
Published online: 27 Nov 2023 *

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