Interrelationship-Based Selection for Decomposition Multiobjective Optimization

@article{Li2015InterrelationshipBasedSF,
  title={Interrelationship-Based Selection for Decomposition Multiobjective Optimization},
  author={Ke Li and Sam Kwong and Qingfu Zhang and Kalyanmoy Deb},
  journal={IEEE Transactions on Cybernetics},
  year={2015},
  volume={45},
  pages={2076-2088}
}
Multiobjective evolutionary algorithm based on decomposition (MOEA/D), which bridges the traditional optimization techniques and population-based methods, has become an increasingly popular framework for evolutionary multiobjective optimization. It decomposes a multiobjective optimization problem (MOP) into a number of optimization subproblems. Each subproblem is handled by an agent in a collaborative manner. The selection of MOEA/D is a process of choosing solutions by agents. In particular… CONTINUE READING
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