Investigating the Effect of Parallelism in Decomposition Based Evolutionary Many-Objective Optimization Algorithms

@inproceedings{Chen2018InvestigatingTE,
  title={Investigating the Effect of Parallelism in Decomposition Based Evolutionary Many-Objective Optimization Algorithms},
  author={Lei Chen and Kalyanmoy Deb and Hai-Lin Liu},
  year={2018}
}
One of the main reasons for evolutionary multi-objective and many-objective optimization (EMO) algorithms to find and maintain multiple trade-off solutions is that their operators are capable of establishing an implicit search parallely to multiple regions of the search space. A recent direction in EMO algorithm development is to use decompositionbased methods which make a compromise on achieving the full advantage of the implicit parallelism aspect of evolutionary algorithms. In this paper, we… CONTINUE READING

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