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Speeding up evolutionary multi-objective optimisation through diversity-based parent selection.

, , , and . GECCO, page 553-560. ACM, (2017)

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Theoretical and empirical evaluation of diversity-preserving mechanisms in evolutionary algorithms: on the rigorous runtime analysis of diversity-preserving mechanisms in evolutionary algorithms.. University of Sheffield, UK, (2018)British Library, EThOS.Runtime Analysis of Crowding Mechanisms for Multimodal Optimization., and . IEEE Trans. Evol. Comput., 24 (3): 581-592 (2020)On the utilization of pair-potential energy functions in multi-objective optimization., , , and . Swarm Evol. Comput., (2023)Towards a Pareto Front Shape Invariant Multi-Objective Evolutionary Algorithm Using Pair-Potential Functions., , and . MICAI (1), volume 13067 of Lecture Notes in Computer Science, page 369-382. Springer, (2021)Robustness analysis of a MOEA-based elicitation method for outranking model parameters., , and . CCE, page 209-214. IEEE, (2013)On the Runtime Analysis of the Clearing Diversity-Preserving Mechanism., and . Evol. Comput., 27 (3): 403-433 (2019)Design and analysis of diversity-based parent selection schemes for speeding up evolutionary multi-objective optimisation., , , and . Theor. Comput. Sci., (2020)Runtime Analysis of Restricted Tournament Selection for Bimodal Optimisation., and . CoRR, (2022)On the adaptation of reference sets using niching and pair-potential energy functions for multi-objective optimization., , and . Swarm Evol. Comput., (December 2023)Towards a More Balanced Reference Set Adaptation Method: First Results., , and . CEC, page 1185-1192. IEEE, (2021)