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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.
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Citations
Cites
Completely Derandomized Self-Adaptation in Evolution Strategies
Hansen, N., & Ostermeier, A. (2001) · Evolutionary Computation · doi:10.1162/106365601750190398 · Cited by 4,397
Self-citationHansen, N., Müller, S. D., & Koumoutsakos, P. (2003) · Evolutionary Computation · doi:10.1162/106365603321828970 · Cited by 2,601
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Cited by
Differential Evolution: A Survey of the State-of-the-Art
Das, S., & Suganthan, P. N. (2011) · IEEE Transactions on Evolutionary Computation · doi:10.1109/tevc.2010.2059031 · Cited by 5,307
A social learning particle swarm optimization algorithm for scalable optimization
Cheng, R., & Jin, Y. (2015) · Information Sciences · doi:10.1016/j.ins.2014.08.039 · Cited by 747
A Survey on Policy Search Algorithms for Learning Robot Controllers in a Handful of Trials
Chatzilygeroudis, K., Vassiliades, V., Stulp, F., Calinon, S., & Mouret, J.-B. (2020) · IEEE Transactions on Robotics · doi:10.1109/tro.2019.2958211 · Cited by 160
Merrikh-Bayat, F. (2015) · Applied Soft Computing · doi:10.1016/j.asoc.2015.04.048 · Cited by 134
Age-Fitness Pareto Optimization
Schmidt, M., & Lipson, H. (2011) · Genetic and Evolutionary Computation · doi:10.1007/978-1-4419-7747-2_8 · Cited by 99
Metadata
- Authors
- Auger, A., & Hansen, N.
- Venue
- 2005 IEEE Congress on Evolutionary Computation
- Publisher
- IEEE
- Published
- 2005-12-13
- Volume
- 2
- Pages
- 1769-1776
- OpenAlex
- W1503296932
- Cited by
- 952
- References
- 2
- FWCI
- 7.87
- Type
- conference paper
- Language
- en
- Open access
- closed
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