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麻烦大神帮忙看一下,PSO在节点定位算法的仿真,运行后只有两个坐标轴怎么办?感谢!
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function[psoF]=pso_2D
2 Z( Q/ d% J% k; j: ?7 i, Zclc;
, _8 W! o+ b8 t( e3 `" P F6 pclear all;
$ P3 d# y# Q) Dpop_size=10;
0 k" J" |7 p6 J- `* ^/ V8 ppart_size=2;- A. R3 g& X3 l% a
gbest=zeros(1,part_size+1);/ v0 T& |( m+ r0 x0 k
max_gen=300;
+ ]" K* m0 P+ i, u+ [. Aregion=zeros(part_size,2); S5 C% g- n3 M+ H
region=10*[-3,3;-3,3;-3,3;-3,3;-3,3;-3,3;-3,3;-3,3;-3,3;-3,3;];
% o' }% U, I0 G q; v+ d9 o' Irand('state',sum(100*clock));
9 s' q; S" W/ L% o; Q5 J# h' D, earr_present=ini_pos(pop_size,part_size);
( M3 ]3 B! l+ v6 `v=ini_v(pop_size,part_size);( t0 ~2 P; e- T: s5 X& U$ m+ B
pbest=zeros(pop_size,part_size+1);
% R* B/ j. B3 {( S2 `; `0 Bbest_record=zeros(part_size+1,max_gen);/ t: {5 s8 D! Z6 t
w_max=0.9;
. H1 u& b% U9 {# o9 bw_min=0.2;" B: O) ~# l+ _4 N' k
v_max=3;
* ?* @+ k' o6 g2 N1 mc1=2;( A7 {' w5 C( ^2 B0 N* j- ^
c2=2;
, N" m) Y* l3 |" m* Y% h6 Garr_present(:,end)=ini_fit(arr_present,pop_size,part_size);! [, ^8 @' }; d. r
pbest=arr_present;
" w) e) C9 q# k' t& P1 v) T" C' G* L[best_value best_index]=max(arr_present(end));3 C# h% V" C& z6 X
gbest=arr_present(best_index, ;
% e) c2 u3 n3 y, r9 C/ I, Wfor i=1:max_gen# v+ c- @, X; Y; I M" x2 C
w=w_max-(w_max-w_min)*i/max_gen;1 B6 I+ H) s4 }0 |% U
for j=1:pop_size- x' h }6 I+ {% l& l
v(j, =w.*v(j)+c1.*rand.*(pbest(j,1:part_size)-arr_present(j,1:part_size));
7 ]# ] t/ {8 K7 z6 q c2.*rand.*(gbest(1:part_size)-arr_present(j,1:part_size));
/ @) E3 N/ b i1 o for k=1:part_size
: \; y$ f: N6 [$ R if abs(v(j,k))>20
L3 Y1 g- k) \' x8 ?; _$ |0 W rand('state',sum(100*clock));0 c! J- }' w/ f3 n1 A
v(j,k)=20*rand();4 w, g \& [; |
end* |0 m1 I- e& N \) p5 F
end4 [6 o' n. [( M9 L% d' C+ \
arr_present(j,1:part_size)=arr_present(j,1:part_size)+v(j,1:part_size);4 d& y0 Y6 h; y& W2 d& R
arr_present(j,end)=fitness(part_size,arr_present(j,1:part_size));+ b3 P" _4 Q7 L9 q; |3 I+ P! }% a
if(arr_present(j,end)>pbest(j,end))&(Region_in(arr_present(j, ,region))) i* W2 N9 m2 q2 U# L9 v- _. d
pbest(j)=arr_present(j);% s$ G6 S9 e% f- r2 b! ^9 h
end$ U8 D. M4 f F/ n
end
! f+ o& O% {5 ^' S: B [best best_index]=max(arr_present(end));
$ ~; V, g7 A1 v6 h if best>gbest(end)&&(Region_in(arr_present(best_index),region))
; s+ S Q% B. @- l! P8 y& g gbest=arr_present(best_index,:);) P& A2 G- f8 r+ N9 A4 |0 H
end
3 Z" T0 A) |$ _# G9 v: F3 o# f xlhd=gbest(1:part_size);
* e+ l# Z! A |+ E+ B" z if(1)
0 w0 a* u% k! q. S, u for p=1:25! ?% v5 V8 |% b% y! L0 Z
cxl=rand(1,part_size);! _1 \4 }4 t: I( g" Y$ h
for j=1:part_size# ? ?2 ]' s* w# H6 e, e' O+ A
if cxl(j)==0
: K l0 k: W# q3 G9 y* | cxl(j)=0.1;/ u; n: a% B$ c5 c0 S, ]9 X2 G
end6 d& V) _/ J5 B& |) }: {; L
if cxl(j)==0.25% @9 p$ Q) ]/ q X& f/ ]( O. K
cxl(j)=0.26;& m& p" l- M2 x2 S8 C, m. w0 l
end
( Q1 n1 T7 V0 G. W if cxl(j)==0.51 p2 _) n1 j& H( E& y* O, }
cxl(j)=0.51;) b5 r, b& ~$ i; R* e* }
end
1 m2 f7 t* B1 ~+ p+ i if cxl(j)==0.75
& ~# M/ W' c, A8 Z4 J; X% M cxl(j)=0.76;
l6 l2 o+ C3 D3 R2 f end8 S( N8 n2 T: h! f
if cxl(j)==1
$ c. E+ |0 S c5 u& V cxl=0.9;, L$ e# }' T8 f4 o8 X e ^
end2 Q, H; p2 H: `6 m% @( a' j
end) c2 q& A) x( r/ Q
al=-30;bl=30;: m( J9 U) x$ F% k- E! j
rxl=al+(bl-al)*cxl;
! Y& J2 R# @6 r bate=0.1;
/ Q' ^) \2 E4 H5 G! D. L" u" r xlhd=xlhd+bate*rxl;
7 d5 |7 k9 p; N3 R; }7 c2 |8 x if fitness(part_size,xlhd)>gbest(end) q7 I: B% ~7 ? l3 j4 w' F5 H
gbest(1:part_size)=xlhd;
4 I. Z: g v! p gbest(end)=fitness(part_size,xlhd);
* g: z0 L! V+ f3 S8 u! Q end' C1 k# e F. ]7 U+ {" S; v
for j=1:part_size
7 i; S+ B: d7 B% b cxl(j)=4*cxl(j)*(1-cxl(j));
' o+ {$ d5 b' j2 d' `# l end' c3 h+ k+ N" M: w0 o* v4 Z
end2 _0 H* P: ]3 S4 X5 m; c
end;
7 K0 @0 v, ~0 `* \2 m4 E1 A; g& q6 _5 {
best_record(i)=gbest(end);5 B' y7 [- X. p/ _) }4 K% |
end;
A v6 Q: D: u6 v) Mpso=gbest;
9 d% y5 p4 u3 w5 qdisplay(gbest);7 I: Y" l) V! T. l
figure;5 r" u" k4 Q+ t# `- r
plot(best_record(end));* H3 [! _0 [% m( w& y' Z8 p
best=zeros(part_size,max_gen);: ~ H' @4 _7 F: S! H+ Z4 z
for i=1part_size=1;- g. X/ u$ X7 \- j4 x% v% o* Q
best(i)=best_record(i);- I i3 c4 P& t+ O5 M& r5 z1 a
end
( P1 {5 t, [5 P- F W7 S$ o; _pareto1=zeros(1,max_gen);$ C& r! q- T3 u& w- R: x/ N
pareto2=zeros(1,max_gen);
8 T4 y+ n( R' I# rfor i=1:max_gen
g! X2 O z9 Q0 G0 k pareto1(i)=f1(part_size,best(i));
, F( L7 G1 e( z pareto2(i)=f2(part_size,best(i));
" V1 ?8 e f2 T' x9 V$ Z( N) X' jend. f u1 p. p5 B. D( l
figure;2 D1 H% {! G' H9 L6 O
i=1:max_gen;; j3 r [# I# ^& `6 F3 h
plot(pareto1(i),pareto2(i),'r+');
, X" o( b0 z. T7 Txlabel('f1');ylabel('f2');1 i0 b* [8 d! d1 b
title('Pareto曲线');
7 n: p5 P2 _! S i ?function ini_present=ini_pos(pop_size,part_size)
$ [) }# V; C0 V4 pini_present=10*3*rand(pop_size,part_size+1);
9 r5 \. {4 t- f$ f" t9 M' S. J" pfunction ini_velocity=ini_v(pop_size,part_size)
' @5 ~0 F: o, e, ~4 f R* }4 Xini_velocity=20*(rand(pop_size,part_size));4 l. O" P3 M# z! m- A5 d
function flag=Region_in(pos_present,region)' R" }( ~9 ]/ j; P" m
[m n]=size(pos_present);
+ r# _' U8 O. A% X+ ], Mflag=1; Z- {- p' R E1 J6 K1 \/ ^
for j=1:n-1
$ u4 X% l; _8 S* j/ p7 h4 v' Z9 A4 p flag=flag&(pos_present(1,j)>=region(j,1))&(pos_present(1,j)<=region(j,2));! j7 M; B( u4 u I
end
( O: _: T* q1 ~' }/ efunction arr_fitness=ini_fit(pos_present,pop_size,part_size)
. ~- q. ^) k3 a' X! dfor k=1:pop_size! R, t9 Z/ w0 g! z3 S$ Z# |! G
arr_fitness(k,1)=fitness(part_size,pos_present(k,1:part_size));
6 c {% U! O8 e+ O( K* q- c* }* rend' {# d! {* l2 H" h P
function fit=fitness(n,xp)( a+ v+ C* x& T/ u) |' V
y0=[-9.9907,-7.7507];) s6 |; G; l, i7 J
y1=[f1(n,xp),f2(n,xp)];
7 }6 w/ a+ E* T; p" Y8 rfit=graydegree(2,y0,y1);3 L- A( \+ B! b/ V, m/ z) h& {: c
function r=f1(n,x)
4 P+ a! v: h) V: I& }8 y& d kr=0;
/ c9 f6 Z/ e6 v2 ifor i=1:n-1* }4 e6 ^. C4 j. t
r=r+(-10)*exp((-0.2)*sqrt(x(i)^2+x(i+1)^2));
" \! N) R$ _ w" yend6 X9 q, O+ T; g' F( N* x% f
function r=f2(n,x)
- I& r$ T% A! E- o" v) o: qr=0;) k: r+ I8 s: |$ {; i% C$ _
for i=1:n
, s' C/ ?$ C6 |0 |, `* N r=r+(abs(x(i)))^0.8+5*sin(x(i)^3);% P' D8 Z7 ~* X# P; p# g- _
end6 J8 J. F7 u5 k- [* j, \) u
function r=g1(n,x). |3 n8 z1 [ X3 Y% M# S0 X
r=0;
4 I; M# h1 A5 S, m3 E6 S9 ]. Wfor i=1:n
$ r, Z$ j7 f6 M" Q" ?( W& H9 s r=0;$ _# }- \7 m' [6 v( P7 T8 U
end
/ C; a; Z; ^1 H/ a0 H$ g$ e6 f# sfunction r=g2(n,x)- ]! O# B7 n$ D
r=0;
% S! ]% p, R5 a dfor i=1:n
, S% |8 }" ]) O r=0;
! P* R) H8 m% _* nend# I9 _# _ ~' P4 H
function gama=graydegree(tn,y0,y1)" o, ~7 d% v% {7 h' G
gama=0;
- E, S5 k7 X0 l: S7 K: urou=0.5;2 W' S; @2 v) ?' b* y' w3 W0 J# R
kesa=zeros(tn,1);
I$ w5 @* h: K+ v1 i0 a5 V" a$ ^5 Em1=abs(y0(1)-y1(1));& D4 Y" o9 G& t. a' D# P
m2=abs(y0(1)-y1(1));
2 w0 J1 {& e# w' G) T0 jfor i=1:tn
, t. _: C5 `% q1 M" ^ if(abs(y0(i)-y1(i))>m2)( ?; R( w; y% c1 z5 f
m2=abs(y0(i)-y1(i)); [; O3 i/ _% @
end- g5 w: |& q; _4 {& y1 g& \. ^
end
; L# O2 q% d& U5 V8 a* ]for i=1:tn) s4 z$ u( ]/ S' M7 @
kesa(i)=(m1+rou*m2)/(abs(y0(i)-y1(i))+rou*m2);
0 i7 j& L9 M+ e# W$ O gama=gama+kesa(i);' {0 d( l! X, v
end( [( T8 H' u& e
gama=gama/tn;
( r" l5 K+ `6 `! T) |function bool=feasible(x,n)
+ m# H- _6 N; X6 i2 Q4 S9 W/ a {r=0;
& ?4 F+ b4 E" }7 \6 `0 ur=max(g1(n,x),g2(n,x));
`. _* C8 `6 ^2 O* y, Qif(r>0) j4 Z& F; U4 ?+ E9 j! S1 t
bool=0;9 K9 X0 B& h" x
else, Y2 m1 Z; r P
bool=1;' j0 k( l7 l; ]& z. K5 U: \+ V
end |
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