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Tuning Optimization Algorithms Under Multiple Objective Function Evaluation Budgets.

, , , and . IEEE Trans. Evolutionary Computation, 19 (3): 341-358 (2015)

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Saturation in PSO neural network training: Good or evil?, and . CEC, page 125-132. IEEE, (2015)A sensitivity analysis algorithm for pruning feedforward neural networks., and . ICNN, page 1274-1278. IEEE, (1996)An Analysis of Control Parameter Importance in the Particle Swarm Optimization Algorithm., , and . ICSI (1), volume 11655 of Lecture Notes in Computer Science, page 93-105. Springer, (2019)A generator for dynamically constrained optimization problems., and . GECCO (Companion), page 1441-1448. ACM, (2019)Particle swarm optimization: a guide to effective, misconception free, real world use., and . GECCO (Companion), page 831-857. ACM, (2018)Control parameter sensitivity analysis of the multi-guide particle swarm optimization algorithm., and . GECCO, page 22-29. ACM, (2019)Signal Modelling for the Digital Reconstruction of Gramophone Noise., and . ICETE (Selected Papers), volume 585 of Communications in Computer and Information Science, page 411-432. Springer, (2015)Computational Intelligence: An Introduction. Wiley, (2002)Image Classification using Particle Swarm Optimization., , and . SEAL, volume 2 of Advances in Natural Computation, page 347-365. World Scientific, (2002)A fuzzy ant colony optimization algorithm for topology design of distributed local area networks., and . SIS, page 1-7. IEEE, (2008)