Parameter-less Optimization with the Extended Compact Genetic Algorithm and Iterated Local Search
<|reference_start|>Parameter-less Optimization with the Extended Compact Genetic Algorithm and Iterated Local Search: This paper presents a parameter-less optimization framework that uses the extended compact genetic algorithm (ECGA) and iterated local search (ILS), but is not restricted to these algorithms. The presented optimization algorithm (ILS+ECGA) comes as an extension of the parameter-less genetic algorithm (GA), where the parameters of a selecto-recombinative GA are eliminated. The approach that we propose is tested on several well known problems. In the absence of domain knowledge, it is shown that ILS+ECGA is a robust and easy-to-use optimization method.<|reference_end|>
@article{lima2004parameter-less,
    title={Parameter-less Optimization with the Extended Compact Genetic Algorithm
  and Iterated Local Search},
    author={Claudio F. Lima, Fernando G. Lobo},
    journal={arXiv preprint arXiv:cs/0402047},
    year={2004},
    archivePrefix={arXiv},
    eprint={cs/0402047},
    primaryClass={cs.NE}
}