Three improved hybrid metaheuristic algorithms for engineering design optimization

@article{Yi2013ThreeIH,
  title={Three improved hybrid metaheuristic algorithms for engineering design optimization},
  author={Huizhi Yi and Qinglin Duan and T. Warren Liao},
  journal={Appl. Soft Comput.},
  year={2013},
  volume={13},
  pages={2433-2444}
}
This paper presents three hybrid metaheuristic algorithms that further improve the two hybrid differential evolution (DE) metaheuristic algorithms described in Liao [1]. The three improved algorithms are: (i) MDE′–HJ, which is a modification of MA–MDE′ in Liao [1] by replacing the random walk with direction exploitation local search with the Hooke and Jeeves (HJ) method; (ii) MDE′–IHS–HJ, which is constructed by adding the Hooke and Jeeves method to the original cooperative hybrid, i.e., MDE… CONTINUE READING
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