A Q-learning-based memetic algorithm for multi-objective dynamic software project scheduling-Reference-Cited by-同舟云学术

A Q-learning-based memetic algorithm for multi-objective dynamic software project scheduling

Published:2018-02 Issue: Volume:428 Page:1-29
ISSN:0020-0255
Container-title:Information Sciences
language:en
Short-container-title:Information Sciences

Author:

Shen Xiao-Ning,Minku Leandro L.,Marturi Naresh,Guo Yi-Nan,Han Ying

Funder

National Natural Science Foundation of China (NSFC)

Publisher

Elsevier BV

Subject

Artificial Intelligence,Information Systems and Management,Computer Science Applications,Theoretical Computer Science,Control and Systems Engineering,Software

Reference47 articles.

1. Software project management with gas;Alba;Inf. Sci.,2007

2. Genetic algorithms for project management;Chang;Annal. Softw. Eng.,2001

3. Time-line based model for software project scheduling with genetic algorithms;Chang;Inf. Softw. Technol.,2008

4. Ant colony optimization for software project scheduling and staffing with an event-based scheduler;Chen;IEEE Trans. Softw. Eng.,2013

5. Using multiobjective metaheuristics to solve the software project scheduling problem;Chicano,2011

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