simulated annealing -凯发k8网页登录

simulated annealing solver for derivative-free unconstrained optimization or optimization with bounds

use simulated annealing when other solvers don't satisfy you.

functions

find minimum of function using simulated annealing algorithm

	create optimization options
	reset options

optimize or solve equations in the live editor

minimize function with many local minima
presents an example of solving an optimization problem using simulated annealing.
minimization using simulated annealing algorithm
this example shows how to create and minimize an objective function using the simulannealbnd solver. it also shows how to include extra parameters for the minimization.
simulated annealing options
shows the effects of some options on the simulated annealing solution process.
multiprocessor scheduling using simulated annealing with a custom data type
uses a custom data type to code a scheduling problem. uses a custom plot function to monitor the optimization process.
explains how to obtain identical results by setting the random seed.
describes cases where hybrid functions are likely to provide greater accuracy or speed.