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ParametersReturns
_calculate_population_energies(self, population)

Parameters

population : ndarray

An array of parameter vectors normalised to [0, 1] using lower and upper limits. Has shape (np.size(population, 0), len(x)) .

Returns

energies : ndarray

An array of energies corresponding to each population member. If maxfun will be exceeded during this call, then the number of function evaluations will be reduced and energies will be right-padded with np.inf. Has shape (np.size(population, 0),)

Calculate the energies of a population.

Examples

See :

Local connectivity graph

Hover to see nodes names; edges to Self not shown, Caped at 50 nodes.

Using a canvas is more power efficient and can get hundred of nodes ; but does not allow hyperlinks; , arrows or text (beyond on hover)

SVG is more flexible but power hungry; and does not scale well to 50 + nodes.

All aboves nodes referred to, (or are referred from) current nodes; Edges from Self to other have been omitted (or all nodes would be connected to the central node "self" which is not useful). Nodes are colored by the library they belong to, and scaled with the number of references pointing them


GitHub : /scipy/optimize/_differentialevolution.py#940
type: <class 'function'>
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