genetic algorithm
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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 = [];
1 个评论
Walter Roberson
2011-10-22
You didn't really ask a question: you just said that the output was wrong.
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2011-10-22
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