| TrigonometricAdditiveCooling {xegaPopulation} | R Documentation |
Trigonometric additive cooling.
Description
This schedule decreases in proportion to the
cosine of the temperature cycle in
lF$Generations() (= number of generations) fractions
between the starting temperature lF$Temp0()
and the final temperature lF$TempN().
Usage
TrigonometricAdditiveCooling(k, lF)
Arguments
k |
Number of steps (time). |
lF |
Local configuration. |
Details
Temperature is updated at the end of each generation
in the main loop of the genetic algorithm.
lF$Temp0() is the starting temperature.
lF$TempN() is the final temperature.
lF$Generations() is the number of generations (time).
Value
Temperature at time k.
References
The-Crankshaft Publishing (2023) A Comparison of Cooling Schedules for Simulated Annealing. <https://what-when-how.com/artificial-intelligence/a-comparison-of-cooling-schedules-for-simulated-annealing-artificial-intelligence/>
See Also
Other Cooling:
ExponentialAdditiveCooling(),
ExponentialMultiplicativeCooling(),
LogarithmicMultiplicativeCooling(),
PowerAdditiveCooling(),
PowerMultiplicativeCooling()
Examples
parm<-function(x){function() {return(x)}}
lF<-list(Temp0=parm(100), TempN=parm(10), Generations=parm(50))
TrigonometricAdditiveCooling(0, lF)
TrigonometricAdditiveCooling(2, lF)