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Saturation in PSO neural network training: Good or evil?, and . CEC, page 125-132. IEEE, (2015)Key challenges and future directions of dynamic multi-objective optimisation., , and . CEC, page 1256-1261. IEEE, (2016)Self-Adapting the Brownian Radius in a Differential Evolution Algorithm for Dynamic Environments., , and . FOGA, page 114-128. ACM, (2015)The Effect of Quantum and Charged Particles on the Performance of the Dynamic Vector-evaluated Particle Swarm Optimisation Algorithm., and . GECCO, page 25-32. ACM, (2015)Pareto-based many-objective optimization using knee points., , and . CEC, page 3678-3686. IEEE, (2016)A fuzzy ant colony optimization algorithm for topology design of distributed local area networks., and . SIS, page 1-7. IEEE, (2008)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)