Multiobjective evolutionary algorithms for electric power dispatch problem

@article{Abido2006MultiobjectiveEA,
  title={Multiobjective evolutionary algorithms for electric power dispatch problem},
  author={Mohammad Ali Abido},
  journal={IEEE Transactions on Evolutionary Computation},
  year={2006},
  volume={10},
  pages={315-329}
}
The potential and effectiveness of the newly developed Pareto-based multiobjective evolutionary algorithms (MOEA) for solving a real-world power system multiobjective nonlinear optimization problem are comprehensively discussed and evaluated in this paper. Specifically, nondominated sorting genetic algorithm, niched Pareto genetic algorithm, and strength Pareto evolutionary algorithm (SPEA) have been developed and successfully applied to an environmental/economic electric power dispatch problem… CONTINUE READING

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References

Publications referenced by this paper.
SHOWING 1-10 OF 44 REFERENCES

A fuzzy definition of "optimality" for many-criteria optimization problems

  • IEEE Trans. Systems, Man, and Cybernetics, Part A
  • 2004
VIEW 1 EXCERPT

A novel multiobjective evolutionary algorithm for environmental/economic power dispatch

  • Electr. Power Syst. Res., vol. 65, no. 1, pp. 71–81, Apr. 2003.
  • 2003

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