Abstract
The key point of project management is scheduling problem. While scheduling optimization,which determines the profit of projects, has been one of the hot research spots for domestic and foreign experts or scholars. This paper mainly proposes an optimization method of network planning project by using an improved genetic algorithm for solving complex parallel multi-task scheduling problems. It used a method that gradually increases the number of parallel tasks for increasing the complexity of scheduling algorithm. This paper mainly focuses on the feasibility of the large-scale and complex multi-task parallel scheduling problem in the use of improved genetic algorithm. The experiment results show that using improved genetic algorithm for solving large-scale and complex multi-task parallel scheduling problem is feasible, and meanwhile,produces better results.
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© 2009 Springer-Verlag Berlin Heidelberg
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Li, X., Chen, P., Zhu, L. (2009). The Research of Method Based on Complex Multi-task Parallel Scheduling Problem. In: Cai, Z., Li, Z., Kang, Z., Liu, Y. (eds) Computational Intelligence and Intelligent Systems. ISICA 2009. Communications in Computer and Information Science, vol 51. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-04962-0_4
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DOI: https://doi.org/10.1007/978-3-642-04962-0_4
Publisher Name: Springer, Berlin, Heidelberg
Print ISBN: 978-3-642-04961-3
Online ISBN: 978-3-642-04962-0
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