An Interactive Simple Indicator-Based Evolutionary Algorithm (I-SIBEA) for Multiobjective Optimization Problems
Chugh, T., Sindhya, K., Hakanen, J., & Miettinen, K. (2015). An Interactive Simple Indicator-Based Evolutionary Algorithm (I-SIBEA) for Multiobjective Optimization Problems. In A. Gaspar-Cunha, C. H. Antunes, & C. C. Coello (Eds.), Evolutionary Multi-Criterion Optimization : 8th International Conference, EMO 2015, Guimarães, Portugal, March 29 --April 1, 2015. Proceedings, Part I (pp. 277-291). Springer. Lecture Notes in Computer Science, 9018. https://doi.org/10.1007/978-3-319-15934-8_19
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Lecture Notes in Computer ScienceDate
2015Copyright
© Springer International Publishing Switzerland 2015
This paper presents a new preference based interactive evolutionary
algorithm (I-SIBEA) for solving multiobjective optimization
problems using weighted hypervolume. Here the decision maker iteratively
provides her/his preference information in the form of identifying
preferred and/or non-preferred solutions from a set of nondominated
solutions. This preference information provided by the decision maker
is used to assign weights of the weighted hypervolume calculation to
solutions in subsequent generations. In any generation, the weighted
hypervolume is calculated and solutions are selected to the next generation
based on their contribution to the weighted hypervolume. The
algorithm is compared with a recently developed interactive evolutionary
algorithm, W-Hype on some benchmark multiobjective optimization
problems. The results show significant promise in the use of the I-SIBEA
algorithm. In addition, the performance of the algorithm is demonstrated
using a human decision maker to show its flexibility towards changes in
the preference information. The I-SIBEA algorithm is found to flexibly
exploit the preference information from the decision maker and generate
solutions in the regions preferable to her/him.
...
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SpringerParent publication ISBN
978-3-319-15933-1Conference
International Conference on Evolutionary Multi-Criterion OptimizationIs part of publication
Evolutionary Multi-Criterion Optimization : 8th International Conference, EMO 2015, Guimarães, Portugal, March 29 --April 1, 2015. Proceedings, Part IISSN Search the Publication Forum
0302-9743Publication in research information system
https://converis.jyu.fi/converis/portal/detail/Publication/24645079
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