Multi-Task Scheduling Optimization Method Integrating Visibility Graph, Simulated Annealing, and A Algorithm

This paper presents a multi-task allocation method integrating the visibility graph, A* algorithm, and simulated annealing to enhance scheduling stability and path accuracy in complex environments. The method constructs a path cost matrix and globally optimizes task sequences. Experimental results s...

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Veröffentlicht in:2025 2nd International Conference on Algorithms, Software Engineering and Network Security (ASENS) S. 263 - 267
Hauptverfasser: Luo, Guilan, Chen, Zijie, Zeng, Yongwang, Wang, Long, Wen, Shuzhen, Zhang, Mei
Format: Tagungsbericht
Sprache:Englisch
Veröffentlicht: IEEE 21.03.2025
Schlagworte:
A algorithm
Accuracy
Approximation algorithms
ask allocation
Costs
Dynamic scheduling
Heuristic algorithms
Multitasking
Path planning
Resource management
Simulated annealing
Simulated annealing algorithm
Software algorithms
Visibility graph algorithm
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Abstract This paper presents a multi-task allocation method integrating the visibility graph, A* algorithm, and simulated annealing to enhance scheduling stability and path accuracy in complex environments. The method constructs a path cost matrix and globally optimizes task sequences. Experimental results show a 2% reduction in path length compared to Euclidean-based methods while improving path planning accuracy, allocation efficiency, and stability, providing a robust solution for dynamic multi-task scheduling.
AbstractList This paper presents a multi-task allocation method integrating the visibility graph, A* algorithm, and simulated annealing to enhance scheduling stability and path accuracy in complex environments. The method constructs a path cost matrix and globally optimizes task sequences. Experimental results show a 2% reduction in path length compared to Euclidean-based methods while improving path planning accuracy, allocation efficiency, and stability, providing a robust solution for dynamic multi-task scheduling.
Author Wang, Long
Chen, Zijie
Wen, Shuzhen
Zhang, Mei
Luo, Guilan
Zeng, Yongwang
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  givenname: Guilan
  surname: Luo
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  organization: Dali University,School of Mathematics and Computer Science,Dali,China
– sequence: 2
  givenname: Zijie
  surname: Chen
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  organization: Dali University,School of Engineering,Dali,China
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  givenname: Yongwang
  surname: Zeng
  fullname: Zeng, Yongwang
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  organization: Dali University,School of Engineering,Dali,China
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  givenname: Long
  surname: Wang
  fullname: Wang, Long
  email: wanglong200044@163.com
  organization: Dali University,School of Engineering,Dali,China
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  givenname: Shuzhen
  surname: Wen
  fullname: Wen, Shuzhen
  email: flyer_zhenzhen@163.com
  organization: Dali University,School of Mathematics and Computer Science,Dali,China
– sequence: 6
  givenname: Mei
  surname: Zhang
  fullname: Zhang, Mei
  email: meizi108hn@163.com
  organization: Dali University,School of Mathematics and Computer Science,Dali,China
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Snippet This paper presents a multi-task allocation method integrating the visibility graph, A* algorithm, and simulated annealing to enhance scheduling stability and...
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SubjectTerms A algorithm
Accuracy
Approximation algorithms
ask allocation
Costs
Dynamic scheduling
Heuristic algorithms
Multitasking
Path planning
Resource management
Simulated annealing
Simulated annealing algorithm
Software algorithms
Visibility graph algorithm
Title Multi-Task Scheduling Optimization Method Integrating Visibility Graph, Simulated Annealing, and A Algorithm
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