LogarithmicMultiplicativeCooling {xegaPopulation}

Logarithmic multiplicative cooling.

Description

This schedule decreases by the inverse proportion of the natural logarithm of k. lF$Alpha() should be larger than 1.

Usage

LogarithmicMultiplicativeCooling(k, lF)

Arguments

k

Number of steps to discount.

lF

Local configuration.

Details

Temperature is updated at the end of each generation in the main loop of the genetic algorithm. lF$Temp0() is the starting temperature. lF$Alpha() is a scaling factor.

Value

Temperature at time k.

Aarts, E., and Korst, J. (1989): Simulated Annealing and Boltzmann Machines. A Stochastic Approach to Combinatorial Optimization and Neural Computing. John Wiley & Sons, Chichester. (ISBN:0-471-92146-7)

See Also

Other Cooling: ExponentialAdditiveCooling(), ExponentialMultiplicativeCooling(), PowerAdditiveCooling(), PowerMultiplicativeCooling(), TrigonometricAdditiveCooling()

Examples

parm<-function(x){function() {return(x)}}
lF<-list(Temp0=parm(100), Alpha=parm(1.01))
LogarithmicMultiplicativeCooling(0, lF)
LogarithmicMultiplicativeCooling(2, lF)