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Temperature Scheduling in Simulated Annealing (view source)
Revision as of 01:04, 21 December 2007
, 01:04, 21 December 2007→Convergence and Prospective strategies
*Global Optimization
*Global Optimization
*ParSA-->[2]
*ParSA-->[2]
The primary objective for potential cooling strategies lies in the determination of the α and ''K'' factors given in the ParSA section on improving solution quality in a lesser amount of time. By tracking both the chain length ''n'' and speed of convergence P(X<sub>n</sub> ∉ Cost<sub>min</sub>), one can find a linear plot relating all four of the quantities through the following relationship:
The primary objective for potential cooling strategies lies in the determination of the α and ''K'' factors given in the ParSA section on improving solution quality in a lesser amount of time. By tracking both the chain length ''n'' and speed of convergence P(X<sub>n</sub> ∉ Cost<sub>min</sub>), one can find a linear plot relating all four of the quantities through the following relationship: