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- Pour, Pouya Aghaei, et al.
(författare)
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A Performance Indicator for Interactive Evolutionary Multiobjective Optimization Methods
- 2023
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Ingår i: IEEE Transactions on Evolutionary Computation. - : IEEE. - 1089-778X .- 1941-0026.
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Tidskriftsartikel (refereegranskat)abstract
- In recent years, interactive evolutionary multiobjective optimization methods have been getting more and more attention. In these methods, a decision maker, who is a domain expert, is iteratively involved in the solution process and guides the solution process toward her/his desired region with preference information. However, there have not been many studies regarding the performance evaluation of interactive evolutionary methods. On the other hand, indicators have been developed for a priori methods, where the DM provides preference information before optimization. In the literature, some studies treat interactive evolutionary methods as a series of a priori steps when assessing and comparing them. In such settings, indicators designed for a priori methods can be utilized. In this paper, we propose a novel performance indicator for interactive evolutionary multiobjective optimization methods and show how it can assess the performance of these interactive methods as a whole process and not as a series of separate steps. In addition, we demonstrate the shortcomings of using indicators designed for a priori methods for comparing interactive evolutionary methods. IEEE
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| 2. |
- Pour, Pouya Aghaei, et al.
(författare)
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Desirable properties of performance indicators for assessing interactive evolutionary multiobjective optimization methods
- 2022
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Ingår i: GECCO '22. - New York, NY, USA : Association for Computing Machinery (ACM). - 9781450392686 ; , s. 1803-1811
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Konferensbidrag (refereegranskat)abstract
- Interactive methods support decision makers in finding the most preferred solution in multiobjective optimization problems. They iteratively incorporate the decision maker's preference information to find the best balance among conflicting objectives. Several interactive methods have been developed in the literature. However, choosing the most suitable interactive method for a given problem can prove challenging and appropriate indicators are needed to compare interactive methods. Some indicators exist for a priori methods, where preferences are provided at the beginning of the solution process. We present some numerical experiments that illustrate why these indicators are not suitable for interactive methods. As the main contribution of this paper, we propose a set of desirable properties of indicators for assessing interactive methods as the first step of filling a gap in the literature. We discuss each property in detail and provide simple examples to illustrate their behavior.
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