Multi-Objective Optimization by Using Evolutionary Algorithms: The $p$-Optimality Criteria

@article{Jara2014MultiObjectiveOB,
  title={Multi-Objective Optimization by Using Evolutionary Algorithms: The \$p\$-Optimality Criteria},
  author={Emiliano Carre{\~n}o Jara},
  journal={IEEE Transactions on Evolutionary Computation},
  year={2014},
  volume={18},
  pages={167-179}
}
In this paper, a novel general class of optimality criteria is defined and proposed to solve multi-objective optimization problems by using evolutionary algorithms. These criteria, named p-optimality criteria, allow us to value (assess) the relative importance of those solutions with outstanding performance in very few objectives and poor performance in all others, regarding those solutions with an equilibrium (balance) among all the objectives. The optimality criteria avoid interrelating the… CONTINUE READING

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