@inproceedings{86420beedd3247d09a879c54c1ee7e98,
title = "A restart CMA evolution strategy with increasing population size",
abstract = "In this paper we introduce a restart-CMA-evolution strategy, where the population size is increased for each restart (IPOP). By increasing the population size the search characteristic becomes more global after each restart. The IPOP-CMA-ES is evaluated on the test suit of 25 functions designed for the special session on real-parameter optimization of CEC 2005. Its performance is compared to a local restart strategy with constant small population size. On unimodal functions the performance is similar. On multi-modal functions the local restart strategy significantly outperforms IPOP in 4 test cases whereas IPOP performs significantly better in 29 out of 60 tested cases.",
author = "Anne Auger and Nikolaus Hansen",
year = "2005",
month = jan,
day = "1",
doi = "10.1109/CEC.2005.1554902",
language = "English",
isbn = "0780393635",
series = "2005 IEEE Congress on Evolutionary Computation, IEEE CEC 2005. Proceedings",
publisher = "IEEE Computer Society",
pages = "1769--1776",
booktitle = "2005 IEEE Congress on Evolutionary Computation, IEEE CEC 2005. Proceedings",
note = "2005 IEEE Congress on Evolutionary Computation, CEC 2005 ; Conference date: 02-09-2005 Through 05-09-2005",
}