The Use of Metaheuristics to Software Project Scheduling Problem-Reference-Cited by-同舟云学术

The Use of Metaheuristics to Software Project Scheduling Problem

Published:2014 Issue: Volume: Page:215-226
ISSN:0302-9743
Container-title:Computational Science and Its Applications – ICCSA 2014
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Author:

Crawford Broderick,Soto Ricardo,Johnson Franklin,Misra Sanjay,Paredes Fernando

Publisher

Springer International Publishing

Link

http://link.springer.com/content/pdf/10.1007/978-3-319-09156-3_16

Reference24 articles.

1. Alba, E., Chicano, J.F.: Software project management with gas. Information Sciences, 2380–2401 (2007)

2. Hromkovic, J.: Algorithmics for Hard Problems: Introduction to Combinatorial Optimization, Randomization, Approximation, and Heuristics. Springer, Heidelberg (2010)

3. Lecture Notes in Computer Science;Q.T. Pham,2013

4. Lecture Notes in Computer Science;F. Cafer,2009

5. Mishra, A., Misra, S.: People management in software industry: the key to success. ACM SIGSOFT Software Engineering Notes 35(6), 1–4 (2010)

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