Algorithmic analysis of a basic evolutionary algorithm for continuous optimization

@article{Jgerskpper2007AlgorithmicAO,
  title={Algorithmic analysis of a basic evolutionary algorithm for continuous optimization},
  author={Jens J{\"a}gersk{\"u}pper},
  journal={Theor. Comput. Sci.},
  year={2007},
  volume={379},
  pages={329-347}
}
In practical optimization, applying evolutionary algorithms has nearly become a matter of course. Their theoretical analysis, however, is far behind practice. So far, theorems on the runtime are limited to discrete search spaces; results for continuous search spaces are limited to convergence theory or even rely on validation by experiments, which is unsatisfactory from a theoretical point of view. The simplest, or most basic, evolutionary algorithms use a population consisting of only one… CONTINUE READING

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