Learning Value Functions in Interactive Evolutionary Multiobjective Optimization
This paper proposes an interactive multiobjective evolutionary algorithm (MOEA) that attempts to learn a value function capturing the users' true preferences. At regular intervals, the user is asked to rank a single pair of solutions. This information is used to update the algorithm's inte...
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Published in | IEEE transactions on evolutionary computation Vol. 19; no. 1; pp. 88 - 102 |
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Main Authors | , , , |
Format | Journal Article |
Language | English |
Published |
IEEE
01.02.2015
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Subjects | |
Online Access | Get full text |
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