Preference-inspired co-evolutionary algorithm using adaptively generated goal vectors

@article{Wang2013PreferenceinspiredCA,
  title={Preference-inspired co-evolutionary algorithm using adaptively generated goal vectors},
  author={Rui Wang and Robin C. Purshouse and Peter J. Fleming},
  journal={2013 IEEE Congress on Evolutionary Computation},
  year={2013},
  pages={916-923}
}
Preference-inspired co-evolutionary algorithms (PICEAs) are a novel class of population-based approaches for multi-objective optimization. PICEA-g is one realization of PICEAs in which goal vectors are taken as preferences and are co-evolved with the candidate solutions during the search. The performance of PICEA-g is affected by the distribution of the co-evolved goal vectors. In PICEA-g, new goal vectors are generated within pre-defined bounds determined by the ideal and anti-ideal points in… CONTINUE READING
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