Improving the multiobjective evolutionary algorithm based on decomposition with new penalty schemes
Sign Up to like & getrecommendations! Published in 2017 at "Soft Computing"
DOI: 10.1007/s00500-016-2076-3
Abstract: It has been increasingly reported that the multiobjective optimization evolutionary algorithm based on decomposition (MOEA/D) is promising for handling multiobjective optimization problems (MOPs). MOEA/D employs scalarizing functions to convert an MOP into a number of… read more here.
Keywords: evolutionary algorithm; penalty schemes; new penalty; penalty ... See more keywords