Comparing interactive evolutionary multiobjective optimization methods with an artificial decision maker
Abstract Solving multiobjective optimization problems with interactive methods enables a decision maker with domain expertise to direct the search for the most preferred trade-offs with preference information and learn about the problem. There are different interactive methods, and it is important t...
| Main Authors: | , , |
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| Format: | Article |
| Language: | English |
| Published: |
Springer
2021-12-01
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| Series: | Complex & Intelligent Systems |
| Subjects: | |
| Online Access: | https://doi.org/10.1007/s40747-021-00586-5 |