tfp.optimizer.differential_evolution_one_step
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Performs one step of the differential evolution algorithm.
tfp.optimizer.differential_evolution_one_step(
objective_function,
population,
population_values=None,
differential_weight=0.5,
crossover_prob=0.9,
seed=None,
name=None
)
Args |
objective_function
|
A Python callable that accepts a batch of possible
solutions and returns the values of the objective function at those
arguments as a rank 1 real Tensor . This specifies the function to be
minimized. The input to this callable may be either a single Tensor
or a Python list of Tensor s. The signature must match the format of
the argument population . (i.e., objective_function(*population) must
return the value of the function to be minimized).
|
population
|
Tensor or Python list of Tensor s representing the
current population vectors. Each Tensor must be of the same real dtype.
The first dimension indexes individual population members while the
rest of the dimensions are consumed by the value function. For example,
if the population is a single Tensor of shape [n, m1, m2], then n is
the population size and the output of objective_function applied to the
population is a Tensor of shape [n]. If the population is a python
list of Tensor s then each Tensor in the list should have the first
axis of a common size, say n and objective_function(*population)
should return a Tensor of shape [n]. The population must have at least
4 members for the algorithm to work correctly.
|
population_values
|
A Tensor of rank 1 and real dtype. The result of
applying objective_function to the population . If not supplied it is
computed using the objective_function .
Default value: None.
|
differential_weight
|
Real scalar Tensor . Must be positive and less than
2.0. The parameter controlling the strength of mutation.
Default value: 0.5
|
crossover_prob
|
Real scalar Tensor . Must be between 0 and 1. The
probability of recombination per site.
Default value: 0.9
|
seed
|
int or None. The random seed for this Op . If None , no seed is
applied.
Default value: None.
|
name
|
(Optional) Python str. The name prefixed to the ops created by this
function. If not supplied, the default name 'one_step' is
used.
Default value: None
|
Returns |
A sequence containing the following elements (in order):
|
next_population
|
A Tensor or Python list of Tensor s of the same
structure as the input population. The population at the next generation.
|
next_population_values
|
A Tensor of same shape and dtype as input
population_values . The function values for the next_population .
|
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Last updated 2023-11-21 UTC.
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