MATLAB算法实战应用案例精讲

MATLAB算法实战应用案例精讲

代码实现

MATLAB

WFO.m

function [fb,xb,con] = WFO(alg,prob)
% Water Flowing Optimizer
% Reference: 
% Kaiping Luo. Water Flow Optimizer: a nature-inspired evolutionary algorithm for global optimization.
% IEEE Transactions on Cybernetics, 2021.
% 
% Syntax
% [fb,xb,con] = WFO(alg,prob)
% alg.NP:  the number of water particle
% alg.max_nfe: the maximal number of function evaluation
% alg.pl: the laminar probability
% al.pe: the eddying probability
% prob.lb:  a row vector representing the lower bound
% prob.ub:  a row vector representing the upper bound
% prob.fobj:  a function handle representing the objective to be minimized
% prob.dim:  the dimension of the given problem
% fb: the best objective function value found
% xb: the best solution found
% con: convergence
% 
% Edited by: Kaiping Luo, Beihang University, kaipingluo@buaa.edu
% in Matlab R2020a%% Initialization
dim = prob.d