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MODEL:
& c- c, Q7 \) f$ T) u" }7 C4 M1 M: Q8 k; d& W) W4 D8 ?: H( D
! The Vehicle Routing Problem (VRP);
6 q+ k+ M" N# j! f9 F& b) T1 H% j) a1 a Q
!************************************;( a0 i% c) C; n( J: ~( y$ u
! WARNING: Runtimes for this model ;7 h7 d5 P7 f( M
! increase dramatically as the number;
, g0 x f) J0 h. S. v! of cities increase. Formulations ;* ?! t; Y3 P# L
! with more than a dozen cities ;
: }/ I. j& Q; y8 ?6 b! WILL NOT SOLVE in a reasonable ;
/ d# s7 u% ~1 Q% A) h0 k! amount of time! ;
- K% e3 h8 P- z1 Y% v!************************************;
* L' D, y, ?3 v5 E9 p3 F- f$ l6 D
+ e: K m9 S+ p( b& F" ^- y SETS:9 `3 W4 [! y# }
! Q(I) is the amount required at city I,2 c) e, m( Z, X. o
U(I) is the accumulated delivers at city I ;
l4 |7 w" c- _, Z% c; | CITY/1..8/: Q, U;, j3 `8 \, b$ `5 n3 z% P
0 J( e' [: E* ?
! DIST(I,J) is the distance from city I to city J
4 s2 t% R5 S' { X(I,J) is 0-1 variable: It is 1 if some vehicle
6 f, q0 a( D3 {5 Z7 u& R travels from city I to J, 0 if none;
* Q' T r4 A9 V) V; q CXC( CITY, CITY): DIST, X;
* W& g8 @% n" S3 A9 V9 y1 |' S ENDSETS
! I: p4 t6 z$ ?' B2 r4 q' @2 X' D5 ~* u
DATA:
+ M U( v6 n& P ! city 1 represent the common depo;& d1 k9 B$ Y. V
Q = 0 6 3 7 7 18 4 5; x0 k% f; q: \- J& \0 `
# i2 U6 }8 V0 x/ I, g# |7 U9 m2 G ! distance from city I to city J is same from city0 l5 _* A, b- p1 L1 |- u
J to city I distance from city I to the depot is% i+ [6 S& T" ~5 v
0, since the vehicle has to return to the depot;- G3 P( ` [% W* a
* m1 v1 [( ^/ z6 Q2 ?7 | DIST = ! To City;
' i- K. ~/ }& |; ~4 R ! Chi Den Frsn Hous KC LA Oakl Anah From;. F6 z; T; a5 H6 S V& f
0 996 2162 1067 499 2054 2134 2050!Chicago;, R2 T; q* r7 n+ B9 J" v
0 0 1167 1019 596 1059 1227 1055!Denver;0 o! Y, i9 S$ p: W& v2 Y
0 1167 0 1747 1723 214 168 250!Fresno;
& F8 _3 k. X' T& @5 K4 Q 0 1019 1747 0 710 1538 1904 1528!Houston;" W n# H, u2 t6 u4 [) ]
0 596 1723 710 0 1589 1827 1579!K. City;1 ?# t6 O# O9 L2 O: Q
0 1059 214 1538 1589 0 371 36!L. A.;
2 ?* a6 c, ]2 {, ^ 0 1227 168 1904 1827 371 0 407!Oakland;- D3 F& O) \& W9 c' c$ ^
0 1055 250 1528 1579 36 407 0;!Anaheim;5 Y% s: }( U8 h5 |. t
+ ]2 C u$ p8 N( h ! VCAP is the capacity of a vehicle ;2 V8 R5 I' v- Z2 p t% n
VCAP = 18;& q& e- \$ x$ @! c6 ?
ENDDATA/ w- \7 S3 T5 g3 h! m
8 c8 J" V2 t1 G0 \) E% B5 g0 H& ?: p8 A) F ! Minimize total travel distance;. q) Z3 L- T/ j' f6 B
MIN = @SUM( CXC: DIST * X);
( w* u4 {2 q( ? x
2 ]. g* U5 m7 @7 f5 j$ f ! For each city, except depot....;
& h) @0 ^; \4 u/ S6 E @FOR( CITY( K)| K #GT# 1:- p# f. B0 z7 k* n- x
! S- u6 e+ b3 _5 ~0 P ! a vehicle does not travel inside itself,...;
3 v! O$ q1 l2 G { x: } X( K, K) = 0;
+ u6 Z6 b4 y9 V; s( Q
2 D- b8 x8 ?7 Z8 X8 q& S ! a vehicle must enter it,... ;
0 X7 a. T9 q! f; F0 s! |9 k- E @SUM( CITY( I)| I #NE# K #AND# ( I #EQ# 1 #OR#
% z$ Y6 c Y& A Q( I) + Q( K) #LE# VCAP): X( I, K)) = 1;
& G' d' \1 i; v7 n( \, {2 f# r9 N
9 V$ p( s0 b; c4 E) v3 z ! a vehicle must leave it after service ;3 I+ t4 V% l( v! x+ H7 H
@SUM( CITY( J)| J #NE# K #AND# ( J #EQ# 1 #OR#9 |- H2 B& E! y% F
Q( J) + Q( K) #LE# VCAP): X( K, J)) = 1;* M& x- r+ e! \, _+ k: N: i1 U+ [
# Q [- e; g* B/ N6 ?6 k ! U( K) is at least amount needed at K but can't
( P0 J5 A8 b8 V2 f5 o& h; o2 S exceed capacity;( ]! v# ?+ z9 t& L0 G1 y
@BND( Q( K), U( K), VCAP);
4 G% M7 Y+ U. ^( |0 C+ p+ Y# ]+ b
/ ^* `6 a' x: J C9 F3 L ! If K follows I, then can bound U( K) - U( I);" D5 Q0 f# }0 @+ ^+ U2 a
@FOR( CITY( I)| I #NE# K #AND# I #NE# 1: . [7 e& J1 c5 N/ Q1 }
U( K) >= U( I) + Q( K) - VCAP + VCAP *
/ D/ [4 n9 m5 ^. l+ b! ~ i ( X( K, I) + X( I, K)) - ( Q( K) + Q( I))
4 F" ]# t8 c7 X7 l% S A; K$ ~ * X( K, I);
* R* @1 J5 Q' L% y. e ); N. C/ l9 e3 P+ d B1 [$ v0 Q
! E6 v* ^5 _( Q7 t2 F0 `( ]
! If K is 1st stop, then U( K) = Q( K);
# H. O* m6 H) i& t8 D$ W6 D U( K) <= VCAP - ( VCAP - Q( K)) * X( 1, K);
1 P# c: @% |- U: b0 c+ b! \3 _. N! p% Y4 ^" d9 `/ o0 G0 v
! If K is not 1st stop...;1 U' ^& ~. e; w( B
U( K)>= Q( K)+ @SUM( CITY( I)|
: y; }4 Z# I$ a& r& @3 b9 B I #GT# 1: Q( I) * X( I, K));0 X$ U/ I: y* @5 Y0 m
);
) O7 m3 a9 M/ S) I3 D: G5 d$ s. o: }5 C2 U4 S% I
! Make the X's binary;
& A# U8 G3 C, \* b @FOR( CXC: @BIN( X));1 b4 `' ^& m. d: T
9 G- P& I: M0 [% T8 P9 {
! Minimum no. vehicles required, fractional ; {) C% v f4 n7 P
and rounded;
3 ], i; u. e% O/ ]- {' J VEHCLF = @SUM( CITY( I)| I #GT# 1: Q( I))/ VCAP;
$ t5 e8 i6 O1 Z6 [ VEHCLR = VEHCLF + 1.999 -
$ R3 M9 H! a' H' r- D @WRAP( VEHCLF - .001, 1);
6 m0 G& {7 D2 e4 d$ W' k7 n
+ D( }4 V7 q) r/ u6 i7 e$ e ! Must send enough vehicles out of depot;7 _& g5 o$ x& `2 A: d+ B; e% ?4 l! @
@SUM( CITY( J)| J #GT# 1: X( 1, J)) >= VEHCLR;
, A4 A) z+ b- ]* U7 G END
% B: ]" G; s) }3 O/ _' W 请问大家里面U(I)的公式如何理解啊 U(I)是城市I 的累积交付量么?谢谢 |
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