Interactive multi-objective evolutionary optimization of software architectures

Author:

Ramírez AuroraORCID,Romero José RaúlORCID,Ventura SebastiánORCID

Funder

FEDER

Publisher

Elsevier BV

Subject

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

Reference38 articles.

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2. A hitchhiker’s guide to statistical tests for assessing randomized algorithms in software engineering;Arcuri;Softw. Test. Verif. Rel.,2014

3. k-means++: the advantages of careful seeding;Arthur;Proc. 18th Ann. ACM-SIAM Symp. Discrete Algorithms,2007

4. The maximin fitness function for multi-objective evolutionary computation: application to city planning;Balling;Proc. Genetic Evol. Comput. Conf.,2001

5. Learning value functions in interactive evolutionary multiobjective optimization;Branke;IEEE Trans. Evol. Comput.,2015

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