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Gramophone Noise Reconstruction - A Comparative Study of Interpolation Algorithms for Noise Reduction., и . SIGMAP, стр. 31-38. SciTePress, (2015)Key challenges and future directions of dynamic multi-objective optimisation., , и . CEC, стр. 1256-1261. IEEE, (2016)The Effect of Quantum and Charged Particles on the Performance of the Dynamic Vector-evaluated Particle Swarm Optimisation Algorithm., и . GECCO, стр. 25-32. ACM, (2015)An overview of clustering methods., , и . Intell. Data Anal., 11 (6): 583-605 (2007)Saturation in PSO neural network training: Good or evil?, и . CEC, стр. 125-132. IEEE, (2015)Control parameter sensitivity analysis of the multi-guide particle swarm optimization algorithm., и . GECCO, стр. 22-29. ACM, (2019)An Analysis of Control Parameter Importance in the Particle Swarm Optimization Algorithm., , и . ICSI (1), том 11655 из Lecture Notes in Computer Science, стр. 93-105. Springer, (2019)A generator for dynamically constrained optimization problems., и . GECCO (Companion), стр. 1441-1448. ACM, (2019)Self-Adapting the Brownian Radius in a Differential Evolution Algorithm for Dynamic Environments., , и . FOGA, стр. 114-128. ACM, (2015)Image Classification using Particle Swarm Optimization., , и . SEAL, том 2 из Advances in Natural Computation, стр. 347-365. World Scientific, (2002)