Improved Evolutionary Algorithm Design for the Project Scheduling Problem Based on Runtime Analysis-Reference-Cited by-同舟云学术

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Improved Evolutionary Algorithm Design for the Project Scheduling Problem Based on Runtime Analysis

Published:2014-01 Issue:1 Volume:40 Page:83-102
ISSN:0098-5589
Container-title:IEEE Transactions on Software Engineering
language:
Short-container-title:IIEEE Trans. Software Eng.

Author:

Minku Leandro L.,Sudholt Dirk,Yao Xin

Publisher

Institute of Electrical and Electronics Engineers (IEEE)

Subject

Software

Link

http://xplorestaging.ieee.org/ielx7/32/6755566/06648326.pdf?arnumber=6648326

Cited by 35 articles. 订阅此论文施引文献订阅此论文施引文献，注册后可以免费订阅5篇论文的施引文献，订阅后可以查看论文全部施引文献

1. A Knowledge Guided Multi-Population Evolutionary Algorithm for Dynamic Workflow Scheduling Problem;2024 IEEE Conference on Artificial Intelligence (CAI);2024-06-25

2. Coevolutionary scheduling of dynamic software project considering the new skill learning;Automated Software Engineering;2024-01-19

3. Software project scheduling under activity duration uncertainty;Annals of Operations Research;2023-04-24

4. Investigating the impact of effort slippages in software development project;International Journal of System Assurance Engineering and Management;2023-04-01

5. Software Project Scheduling with Multitasking;ECONOMIC COMPUTATION AND ECONOMIC CYBERNETICS STUDIES AND RESEARCH;2023-03-23

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