Visualising Evolution History in Multi- and Many-objective Optimisation-Reference-Cited by-同舟云学术

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Visualising Evolution History in Multi- and Many-objective Optimisation

Published:2020 Issue: Volume: Page:299-312
ISSN:0302-9743
Container-title:Parallel Problem Solving from Nature – PPSN XVI
language:
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Author:

Walter Mathew J.,Walker David J.,Craven Matthew J.

Publisher

Springer International Publishing

Link

http://link.springer.com/content/pdf/10.1007/978-3-030-58115-2_21

Reference16 articles.

1. Lecture Notes in Computer Science;D Brockhoff,2017

2. Craven, M.J., Jimbo, H.C.: EA stability visualization: perturbations, metrics and performance. In: Proceedings of the Companion Publication of GECCO 2014, pp. 1083–1090 (2014)

3. Črepinšek, M., Liu, S.-H., Mernik, M.: Exploration and exploitation in evolutionary algorithms: a survey. ACM Comput. Surv. (CSUR) 45(3), 1–33 (2013)

4. De Lorenzo, A., Medvet, E., Tušar, T., Bartoli, A.: An analysis of dimensionality reduction techniques for visualizing evolution. In: Proceedings of GECCO 2019, pp. 1864–1872 (2019)

5. Deb, K., Jain, H.: An evolutionary many-objective optimization algorithm using reference-point-based nondominated sorting approach, part I: solving problems with box constraints. IEEE Trans. Evol. Comput. 18(4), 577–601 (2013)

Cited by 3 articles. 订阅此论文施引文献订阅此论文施引文献，注册后可以免费订阅5篇论文的施引文献，订阅后可以查看论文全部施引文献

1. Extrema Graphs: Fitness Landscape Analysis to the Extreme!;Proceedings of the Companion Conference on Genetic and Evolutionary Computation;2023-07-15

2. Visualizing Population Dynamics to Examine Algorithm Performance;IEEE Transactions on Evolutionary Computation;2022-12

3. A Visualizable Test Problem Generator for Many-Objective Optimization;IEEE Transactions on Evolutionary Computation;2022-02

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