gusucode.com > 十大算法matlab程序说明 > 十大算法matlab程序说明/遗传退火法/一个Matlab的模拟退火算法工具箱/ensembleInit.m
function [W,Ew,Wbsf,Ebsf,Ea] = ensembleInit(walkers, newstate, X, cost) % Ensemble initialization method supplied with SA Tools. % Copyright (c) 2002, by Richard Frost and Frost Concepts. % See http://www.frostconcepts.com/software for information on SA Tools. % % [W,Ew,Wbsf,Ebsf,Ea] = ensembleInit(walkers, newstate, X, cost) ; % % INPUTS: % walkers = number of walkers. Must be positive integer. % newstate = (handle to) user-defined method % W0 = newstate(X) where % X = user-defined problem domain or other data, % behaviorally static. % W0 = an initial user-defined state. % X = user-defined problem domain or other data, behaviorally static. % cost = (handle to) user-defined objective method (function) % Ew = cost(X,W) where % X = user-defined problem domain or other data. % W = a user-defined state from 'newstate' or 'moveclass'. % OUTPUTS: % W = cell array of user-defined state(s) from 'newstate'. % Ew = current energies corresponding to W (size walkers) % Wbsf = array of best-so-far states of size 'walkers' % Ebsf = array of best-so-far energies % Ea = average ensemble energy % W = cell(walkers,1) ; for j=1:walkers W{j} = feval(newstate,X) ; Ew(j) = feval(cost,X,W{j}) ; Wbsf{j} = W{j} ; Ebsf(j) = Ew(j) ; end Ea = mean(Ew) ;