mk_simanneal_acceptance_func: Generate acceptance function for an optimization protocol...
In designit: Blocking and Randomization for Experimental Design
View source: R/sim_annealing.R
mk_simanneal_acceptance_func R Documentation
Generate acceptance function for an optimization protocol based on simulated annealing
Description
Generate acceptance function for an optimization protocol based on simulated annealing
Usage
mk_simanneal_acceptance_func(
temp_function = mk_simanneal_temp_func(T0 = 500, alpha = 0.8)
)
Arguments
temp_function
A temperature function that returns the annealing temperature for a certain cycle k
Value
A function that takes parameters (current_score, best_score, iteration) for an optimization step and return a Boolean indicating whether the current solution should be accepted or dismissed. Acceptance probability of a worse solution decreases with annealing temperature.
designit documentation built on May 29, 2024, 12:04 p.m.
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View source: R/sim_annealing.R
| mk_simanneal_acceptance_func | R Documentation |
Generate acceptance function for an optimization protocol based on simulated annealing
Description
Generate acceptance function for an optimization protocol based on simulated annealing
Usage
mk_simanneal_acceptance_func(
temp_function = mk_simanneal_temp_func(T0 = 500, alpha = 0.8)
)
Arguments
temp_function |
A temperature function that returns the annealing temperature for a certain cycle k |
Value
A function that takes parameters (current_score, best_score, iteration) for an optimization step and return a Boolean indicating whether the current solution should be accepted or dismissed. Acceptance probability of a worse solution decreases with annealing temperature.
R Package Documentation
Browse R Packages
We want your feedback!
Note that we can't provide technical support on individual packages. You should contact the package authors for that.
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