An Interactive Framework for Offline Data-Driven Multiobjective Optimization-Reference-Cited by-同舟云学术

An Interactive Framework for Offline Data-Driven Multiobjective Optimization

Published:2020 Issue: Volume: Page:97-109
ISSN:0302-9743
Container-title:Lecture Notes in Computer Science
language:
Short-container-title:

Author:

Mazumdar Atanu^ORCID,Chugh Tinkle^ORCID,Hakanen Jussi^ORCID,Miettinen Kaisa^ORCID

Publisher

Springer International Publishing

Link

http://link.springer.com/content/pdf/10.1007/978-3-030-63710-1_8

Reference21 articles.

1. Castro-Gama, M.: Mariocastrogama/GAA-Problem-MATLAB (2017). https://github.com/mariocastrogama/GAA-problem-MATLAB. Accessed 21 Apr 2020

2. Cheng, R., Jin, Y., Olhofer, M., Sendhoff, B.: A reference vector guided evolutionary algorithm for many-objective optimization. IEEE Trans. Evol. Comput. 20(5), 773–791 (2016)

3. Chugh, T., Chakraborti, N., Sindhya, K., Jin, Y.: A data-driven surrogate-assisted evolutionary algorithm applied to a many-objective blast furnace optimization problem. Mater. Manuf. Process. 32(10), 1172–1178 (2017)

4. 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 (2014)

5. Deb, K.: Evolutionary algorithms for multi-criterion optimization in engineering design. In: Miettinen, K., Neittaanmäki, P., Mäkelä, M.M., Périaux, J. (eds.) Evolutionary Algorithms in Engineering and Computer Science. Wiley (1999)

Cited by 7 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. An Offline Weighted-Bagging Data-Driven Evolutionary Algorithm with Data Generation Based on Clustering;Mathematics;2023-01-13

2. Treed Gaussian Process Regression for Solving Offline Data-Driven Continuous Multiobjective Optimization Problems;Evolutionary Computation;2023

3. Probabilistic Selection Approaches in Decomposition-Based Evolutionary Algorithms for Offline Data-Driven Multiobjective Optimization;IEEE Transactions on Evolutionary Computation;2022-10

4. Interactive evolutionary multiobjective optimization with modular physical user interface;Proceedings of the Genetic and Evolutionary Computation Conference Companion;2022-07-09

5. Interactive MOEA/D with multiple types of preference information;Proceedings of the Genetic and Evolutionary Computation Conference Companion;2022-07-09