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Misleading Pareto optimal front diversity metrics: Spacing and distribution.

, and . SSCI, page 1-8. IEEE, (2016)

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Quantified pareto-optimal front comparisons using attainment surfaces., and . SSCI, page 1-7. IEEE, (2017)Vector evaluated particle swarm optimization archive management: Pareto optimal front diversity sensitivity analysis., and . SSCI, page 1-9. IEEE, (2016)Vector evaluated particle swarm optimization: The archive's influence on performance., and . CEC, page 565-572. IEEE, (2017)Vector evaluated particle swarm optimization exploration behavior part II: Quantitative analysis., and . CEC, page 1855-1861. IEEE, (2016)The Porcupine Measure for Comparing the Performance of Multi-Objective Optimization Algorithms., and . Algorithms, 16 (6): 283 (June 2023)Misleading Pareto optimal front diversity metrics: Spacing and distribution., and . SSCI, page 1-8. IEEE, (2016)Stability Analysis of the Multi-objective Multi-guided Particle Swarm Optimizer., , and . ANTS Conference, volume 11172 of Lecture Notes in Computer Science, page 201-212. Springer, (2018)Analysis of stagnation behaviour of competitive coevolutionary trained neuro-controllers., and . SIS, page 197-204. IEEE, (2014)Competitive coevolutionary training of simple soccer agents from zero knowledge., and . IEEE Congress on Evolutionary Computation, page 1210-1217. IEEE, (2014)Training multi-agent teams from zero knowledge with the competitive coevolutionary team-based particle swarm optimiser., and . Soft Comput., 20 (2): 607-620 (2016)