Gradual distributed real-coded genetic algorithms

  title={Gradual distributed real-coded genetic algorithms},
  author={Francisco Herrera and Manuel Lozano},
  journal={IEEE Trans. Evolutionary Computation},
A major problem in the use of genetic algorithms is premature convergence, a premature stagnation of the search caused by the lack of diversity in the population. One approach for dealing with this problem is the distributed genetic algorithm model. Its basic idea is to keep, in parallel, several subpopulations that are processed by genetic algorithms, with each one being independent of the others. Furthermore, a migration mechanism produces a chromosome exchange between the subpopulations… CONTINUE READING
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Studies in artificial evolution

  • R. J. Collins
  • doctoral dissertation, Univ. California, Los…
  • 1992
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