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An Approach Based on Swarm Intelligence for Event Dissemination in Dynamic Networks.

, , and . SRDS, page 121-126. IEEE Computer Society, (2011)

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Analyzing the control of dominance area of solutions in particle swarm optimization for many-objective., and . HIS, page 103-108. IEEE, (2010)Product selection based on upper confidence bound MOEA/D-DRA for testing software product lines., , , and . CEC, page 4135-4142. IEEE, (2016)Integration Test of Classes and Aspects with a Multi-Evolutionary and Coupling-Based Approach., , , and . SSBSE, volume 6956 of Lecture Notes in Computer Science, page 188-203. Springer, (2011)Selecting Algorithms for the Quadratic Assignment Problem with a Multi-label Meta-Learning Approach., and . BRACIS, page 175-180. IEEE Computer Society, (2018)Investigating Selection Strategies in Multi-objective Probabilistic Model Based Algorithms., , , and . BRACIS, page 7-12. IEEE Computer Society, (2016)Reference-Point Based Multi-swarm Algorithm for Many-Objective Problems., and . BRACIS, page 252-257. IEEE Computer Society, (2015)Predicting Fault Proneness of Classes Trough a Multiobjective Particle Swarm Optimization Algorithm., , , and . ICTAI (2), page 387-394. IEEE Computer Society, (2008)978-0-7695-3440-4.Exploring machine learning techniques for fault localization., , , and . LATW, page 1-6. IEEE, (2009)Parallel multi-swarm PSO strategies for solving many objective optimization problems., , and . J. Parallel Distributed Comput., (2019)Fault Diagnosis of Multiprocessor Systems Based on Genetic and Estimation of Distribution Algorithms: a Performance Evaluation., , and . Int. J. Artif. Intell. Tools, 19 (1): 1-18 (2010)