Exiting due to infeasibility: 1 lower bound exceeds the corresponding upper bound. Error using test13 (line 43) Optimization failed to converge

Below metioned code is giving error: as failed to converge as [x, fval] are empty. Kindly please help to reolve it? Thank You!!

% Define parameter ranges
f_rad_min = 5e9; % minimum radar frequency
f_comm_min = 2e9; % minimum communication frequency
gamma_min = 0.5; % minimum SINR threshold
P_max = 10; % maximum power
f_rad_max = 1000; % maximum radar frequency
gamma_max = 5; % maximum SINR threshold
f_comm_max= 10e9;

% Define objective functions
f1 = @(x) -x(1); % maximize communication rate
f2 = @(x) x(2); % minimize interference power
f3 = @(x) x(3); % minimize total power

% Define constraints
g1 = @(x) -(x(3) - x(2)); % ensure P_int <= P_out
g2 = @(x) x(1) - log2(1 + x(4)*x(5)/(x(3) - x(2) + eps));
g3 = @(x) x(2) - x(6); % ensure P_int <= gamma
g4 = @(x) x(4) - f_rad_min; % ensure f_rad >= f_rad_min
g5 = @(x) x(5) - f_comm_min; % ensure f_comm >= f_comm_min
g6 = @(x) x(3) - P_max; % ensure P_total <= P_max
g7 = @(x) f_rad_max - x(4); % ensure f_rad <= f_rad_max
g8 = @(x) gamma_max - x(6); % ensure gamma <= gamma_max

% Define number of variables and population size
nvars = 6; % number of variables
popsize = 100; % population size

% Define initial population
init_pop = repmat([f_rad_min, f_comm_min, 0.5*P_max, gamma_min, gamma_min, gamma_min], popsize, 1) ...
    + rand(popsize, nvars) .* repmat([f_rad_max-f_rad_min, f_comm_max-f_comm_min, P_max, gamma_max-gamma_min, gamma_max-gamma_min, gamma_max-gamma_min], popsize, 1);

% Clip the values within the bounds
init_pop = min(max(init_pop, [f_rad_min, f_comm_min, 0, gamma_min, gamma_min, gamma_min]), [f_rad_max, f_comm_max, P_max, gamma_max, gamma_max, gamma_max]);

% Run genetic algorithm
options = optimoptions('ga', 'PopulationSize', popsize, 'MaxGenerations', 100);
[x, fval] = ga(@(x) [f1(x), f2(x), f3(x)], nvars, [], [], [], [], [f_rad_min, f_comm_min, 0, gamma_min, gamma_min, 0.1], [f_rad_max, f_comm_max, P_max, gamma_max, gamma_max, gamma_max], ...
    @(x) deal([g1(x), g2(x), g3(x), g4(x), g5(x), g6(x), g7(x), g8(x)], []), options);

Exiting due to infeasibility: a lower bound exceeds the corresponding upper bound.

% Check if optimization succeeded
if isempty(fval)
    error('Optimization failed to converge')
end

Optimization failed to converge

% Plot Pareto front
figure
scatter3(-fval(:,1), fval(:,2), fval(:,3), 'filled')
xlabel('Communication rate')
ylabel('Interference power')
zlabel('Power consumption')
title('Pareto front')

Answer 1

[Walter Roberson]

[f_rad_min, f_comm_min, 0, gamma_min, gamma_min, 0.1]

Those are your lower bounds

[f_rad_max, f_comm_max, P_max, gamma_max, gamma_max, gamma_max]

those are your upper bounds

f_rad_min = 5e9; % minimum radar frequency
f_rad_max = 1000; % maximum radar frequency

The lower bound exceeds the corresponding upper bound there