Re: Optimization with conditional restrictions
- To: mathgroup at smc.vnet.net
- Subject: [mg44545] Re: [mg44534] Optimization with conditional restrictions
- From: Daniel Lichtblau <danl at wolfram.com>
- Date: Fri, 14 Nov 2003 01:58:37 -0500 (EST)
- References: <200311131057.FAA23059@smc.vnet.net>
- Sender: owner-wri-mathgroup at wolfram.com
guillerm at usal.es wrote: > > Dear group, > I wish minimize a function, ej: > 55*x12 + 53*x22 + 53*x32 + 3000*x11 + 3000*x21 + 3000*x31 > including conditional restrictions, ej: > x11 == If[x12 > 0, 1, 0] && x21 == If[x22 > 0, 1, 0] && > x31 == If[x32 > 0, 1, 0]}, > And other standars restrictions > > Here is an example: > > NMinimize[{55*x12 + 53*x22 + 53*x32 + 3000*x11 + 3000*x21 + 3000*x31, > 25*x12 + 25*x22 + 25*x32 == 16000 && 0 <= x12 <= 336 && > 0 <= x22 <= 336 && 0 <= x32 <= 336 && > x11 ?¸ Integers && x21 ?¸ Integers && x31 ?¸ Integers && > x11 == If[x12 > 0, 1, 0] && x21 == If[x22 > 0, 1, 0] && > x31 == If[x32 > 0, 1, 0]}, {x11, x12, x21, x22, x31, x32}] > > Out[]:= {42920.000, {x11 -> 1, x12 -> 2.078*^-7, x21 -> 1, x22 -> 323.29, x31 - > > 1, x32 -> 316.7}} > > The out is wrong, if x12-> 0, should be x11-> 0. I have tested changing the > restricions, writting: x11 == If[x12 > 0.01, 1, 0] && x21 == If[x22 > 0.01, 1, > 0] && x31 == If[x32 > 0.01, 1, 0] > > Any help > > Guillermo Sanchez > > --------------------------------------------- > This message was sent using Endymion MailMan. > http://www.endymion.com/products/mailman/ One thing that makes this work better is to assist NMinimize by making explicit the allowable range (between 0 and 1 inclusive) for x11, x21, and x31. Another thing that sometimes helps is to avoid "procedural" programming description of function values in cases where a math function will suffice (I do not know if it makes a difference in this case). In[11]:= NMinimize[{55*x12 + 53*x22 + 53*x32 + 3000*x11 + 3000*x21 + 3000*x31, {25*x12+25*x22+25*x32 == 16000, 0<=x12<=336, 0<=x22<=336, 0<=x32<=336, Element[{x11,x21,x31},Integers], 0<=x11<=1, 0<=x21<=1, 0<=x31<=1, x11==1-UnitStep[-x12], x21==1-UnitStep[-x22], x31==1-UnitStep[-x32]}}, {x11, x12, x21, x22, x31, x32} ] Out[11]= {40528., {x11 -> 1, x12 -> 304., x21 -> 0, x22 -> 0., x31 -> 1, x32 -> 336.}} I do not know if this is optimal but it seems to be at least in the ballpark I would expect. Morevoer, giving different parameter options does not seem to improve it (at least not for the values I chose). Daniel Lichtblau Wolfram Research
- References:
- Optimization with conditional restrictions
- From: guillerm@usal.es
- Optimization with conditional restrictions