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Integrating user preferences and decomposition methods for many-objective optimization
2014
2014 IEEE Congress on Evolutionary Computation (CEC)
Evolutionary algorithms that rely on dominance ranking often suffer from a low selection pressure problem when dealing with many-objective problems. Decomposition and userpreference based methods can help to alleviate this problem to a great extent. In this paper, a user-preference based evolutionary multi-objective algorithm is proposed that uses decomposition methods for solving many-objective problems. Decomposition techniques that are widely used in multi-objective evolutionary optimization
doi:10.1109/cec.2014.6900595
dblp:conf/cec/MohammadiOLD14
fatcat:2yimzf7hvzgf5jdzy3fvdk4g4q