A Vector Angle-Based Evolutionary Algorithm for Unconstrained Many-Objective Optimization

@article{Xiang2017AVA,
  title={A Vector Angle-Based Evolutionary Algorithm for Unconstrained Many-Objective Optimization},
  author={Yi Xiang and Yuren Zhou and Miqing Li and Zefeng Chen},
  journal={IEEE Transactions on Evolutionary Computation},
  year={2017},
  volume={21},
  pages={131-152}
}
Taking both convergence and diversity into consideration, this paper suggests a vector angle-based evolutionary algorithm for unconstrained (with box constraints only) many-objective optimization problems. In the proposed algorithm, the maximum-vector-angle-first principle is used in the environmental selection to guarantee the wideness and uniformity of the solution set. With the help of the worse-elimination principle, worse solutions in terms of the convergence (measured by the sum of… CONTINUE READING
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