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Positive-versus-Negative Classification for Model Aggregation in Predictive Data Mining., and . INFORMS J. Comput., 25 (4): 792-807 (2013)Particle swarm optimization approaches to coevolve strategies for the iterated prisoner's dilemma., and . IEEE Trans. Evol. Comput., 9 (6): 562-579 (2005)Gramophone Noise Reconstruction - A Comparative Study of Interpolation Algorithms for Noise Reduction., and . SIGMAP, page 31-38. SciTePress, (2015)Optimal parameter regions and the time-dependence of control parameter values for the particle swarm optimization algorithm., , and . Swarm Evol. Comput., (2018)A Scalability Study of Many-Objective Optimization Algorithms., , and . IEEE Trans. Evol. Comput., 22 (1): 79-96 (2018)Gramophone Noise Detection and Reconstruction Using Time Delay Artificial Neural Networks., and . IEEE Trans. Syst. Man Cybern. Syst., 47 (6): 893-905 (2017)Saturation in PSO neural network training: Good or evil?, and . CEC, page 125-132. IEEE, (2015)Control parameter sensitivity analysis of the multi-guide particle swarm optimization algorithm., and . GECCO, page 22-29. ACM, (2019)Computational Intelligence: An Introduction. Wiley, (2002)A generator for dynamically constrained optimization problems., and . GECCO (Companion), page 1441-1448. ACM, (2019)