BIPOP Restart Strategy
ConceptBIPOP is a combined CMA-ES restart strategy introduced by Hansen (2009a) that simultaneously re-initializes the mean vector and covariance matrix while increasing the population size. It is cited within the GENESYS paper as a canonical example of how multiple core restart policies can be composed into a single restart scheme.
First seen 7/2/2026
Last seen 7/2/2026
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BIPOP Restart Strategy
Definition
BIPOP is a named restart strategy for the Covariance Matrix Adaptation Evolution Strategy (CMA-ES). It was proposed by Hansen (2009a) and is referenced in the GENESYS paper as an example of how multiple core restart policies can be composed together.
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1 connectionsBIPOP is one of the restart policies explored.
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[1] BIPOP was proposed by Hansen (2009a) as a combined CMA-ES restart strategy. Synthesizing Programs with Continuous Optimization (GENESYS)
[2] BIPOP simultaneously re-initializes the mean vector, re-initializes the covariance matrix, and increases the population size. Synthesizing Programs with Continuous Optimization (GENESYS)
[3] BIPOP is presented in the GENESYS paper as an example of a combination of core restart policies, alongside IPOP (Auger & Hansen, 2005). Synthesizing Programs with Continuous Optimization (GENESYS)
[4] BIPOP is mentioned as a known combination of multiple core restart policies, illustrating how restart policies can be constructed by combining core primitives. Synthesizing Programs with Continuous Optimization (GENESYS)