genetic algorithm

Hello

I want to solve a optimal problem by genetic algorithm:

A system has one thermal plant and one hydro plant. The input - output characteristic of the thermal plant is:

F = 0.00035PT2 + 0.4PT + 3 Btu/h

The input - output characteristic of the hydro plant is:

W = 0.0015PH2 + 0.8PH + 2 m3/s

The daily water consumption of the hydro plant is:

WΣ = 1.5 × 107 m3

The load demand of the system is:

From 0 o'clock to 8 o'clock: 350MVA.

From 8 o'clock to 18 o'clock: 700MVA.

From 18 o'clock to 24 o'clock: 500MVA.

The power output limit of the thermal plant is: 50 ≤ PT ≤ 600 MW

The power output limit of the hydro plant is: 50 ≤ PH ≤ 450 MW

I wrote code as following but its result is wrong. Please help me as soon as possible. Thank you very much

------- (function ga.m) -------

ObjectiveFunction = @simple_fitness;

nvars = 2;

LB = [50 50];

UB = [600 450];

ConstraintFunction = @simple_constraint;

options = gaoptimset('MutationFcn',@mutationadaptfeasible);

options = gaoptimset(options,'PlotFcns',{@gaplotbestf,@gaplotmaxconstr},'Display','iter'); [x,fval] = ga(ObjectiveFunction,nvars,[],[],[],[],LB,UB,ConstraintFunction,options)

------- (function simple _fitness.m) -------

function y = simple_fitness(x) y = 0.00035*x(1)^2 + 0.4*x(1)+ 3;

------ function simple_constraint.m ------

function [c, ceq] = simple_constraint(x)

c = [x(1)+x(2)-350; (0.0015*x(2)^2 + 0.8*x(2) + 2)*3600-1.5*10^7/24];

ceq = [];

[Walter Roberson]

You didn't really ask a question: you just said that the output was wrong.

Answer 1

[Phan Thai Binh]

Hello

Please tell me how can I have it solved ?

[Phan Thai Binh]

Can you solve it?