initialization.m

%_________________________________________________________________________________
%  Heap-based optimizer inspired by corporate rank hierarchy for global
%  optimization source codes version 1.0
%
%  Developed in MATLAB R2015a
%
%  Author and programmer: Qamar Askari
%
%         e-Mail: l165502@lhr.nu.edu.pk
%                 syedqamar@gift.edu.pk
%
%
%   Main paper:
%   Askari, Q., Saeed, M., & Younas, I. (2020). Heap-based optimizer
%   inspired by corporate rank hierarchy for global optimization.
%   Expert Systems with Applications, 2020,
%____________________________________________________________________________________

% This function initialize the first population of search agents
function Positions=initialization(SearchAgents_no,dim,ub,lb)

Boundary_no= size(ub,2); % numnber of boundaries

% If the boundaries of all variables are equal and user enter a signle
% number for both ub and lb
if Boundary_no==1
    Positions=rand(SearchAgents_no,dim).*(ub-lb)+lb;
end

% If each variable has a different lb and ub
if Boundary_no>1
    for i=1:dim
        ub_i=ub(i);
        lb_i=lb(i);
        Positions(:,i)=rand(SearchAgents_no,1).*(ub_i-lb_i)+lb_i;
    end
end