【优化求解】基于matlab改进的遗传算法求解带约束的优化问题【含Matlab源码 1773期】.zip

function index = TournamentSelection(K,N,varargin) %TournamentSelection - Tournament selection % % P = TournamentSelection(K,N,fitness1,fitness2,...) returns the indices % of N solutions by K-tournament selection based on their fitness values. % In each selection, the candidate having the minimum fitness1 value will % be selected; if more than one candidates have the same minimum value of % fitness1, then compare their fitness2 values, and so on. % % Example: % P = TournamentSelection(2,100,FrontNo) %-------------------------------------------------------------------------- % Copyright (c) 2016-2017 BIMK Group. You are free to use the PlatEMO for % research purposes. All publications which use this platform or any code % in the platform should acknowledge the use of "PlatEMO" and reference "Ye % Tian, Ran Cheng, Xingyi Zhang, and Yaochu Jin, PlatEMO: A MATLAB Platform % for Evolutionary Multi-Objective Optimization [Educational Forum], IEEE % Computational Intelligence Magazine, 2017, 12(4): 73-87". %-------------------------------------------------------------------------- varargin = cellfun(@(S)reshape(S,length(varargin{1}),1),varargin,'UniformOutput',false); [~,rank] = sortrows([varargin{:}]); [~,rank] = sort(rank); Parents = randi(length(varargin{1}),K,N); [~,best] = min(rank(Parents),[],1); index = Parents(best+(0:N-1)*K); end