A hybrid real-parameter genetic algorithm for function optimization

@article{Hwang2006AHR,
  title={A hybrid real-parameter genetic algorithm for function optimization},
  author={Shun-Fa Hwang and Rong-Song He},
  journal={Advanced Engineering Informatics},
  year={2006},
  volume={20},
  pages={7-21}
}
One drawback of genetic algorithm is that it may spend much computation time in the encoding and decoding processes. Also, since genetic algorithm lacks hill-climbing capacity, it may easily fall in a trap and find a local minimum not the true solution. In this paper, a novel adaptive real-parameter simulated annealing genetic algorithm (ARSAGA) that maintains the merits of genetic algorithm and simulated annealing is proposed. Adaptive mechanisms are also included to insure the solution… CONTINUE READING

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