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COMP557 Programming Assignment
创建日期：2024-07-29 17:59:14
标签： COMP557
Programming Assignment
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Programming Assignment
The following graph shows 12 positions with connections (this arrangement is called the Frucht graph1):
At each of the 12 positions you plan to build one building that is either a quarry, or a factory, or a market.
There are three types of resources: gold, diamonds, and jewellery. Every year the same amount of resources are
being sent from building to building over the connections. There is a limitation though for each connection: In
every year the sum of all resources that are being sent over a connection cannot exceed 165 units in total (for
example, if 100 units of gold are being sent from a to b, then the amount of diamonds that are being sent from
b to a is at most 65).
Every year you have 850 units of energy available. Energy is not transported through the network, but is
available everywhere.
? Every year a quarry produces 200 units of gold and 75 units of diamonds. This costs 100 units of energy.
? Every year a factory uses 70 units of gold and 20 units of diamonds and produces 60 units of jewellery.
This costs 300 units of energy.
? The market sells gold, diamonds, and jewellery.
– A unit of gold gives ￡150.
– A unit of diamonds gives ￡200.
– A unit of jewellery gives ￡1000.
Selling costs no energy. The sum of all revenues of all markets is called the total revenue.
Resources cannot be carried over between years. Quarries and factories are not required to use up all resources.
You can decide to forward or destroy an arbitrary amount of resources. The forwarding and the destruction of
resources cost no energy. You also do not have to sell everything that gets sent to a market. You can forward
those resources instead. It obviously makes no sense to forward jewellery through a market instead of selling
it, but it could in principle be useful to forward gold or diamonds instead of selling them, so that they can be
converted to jewellery at a factory.
Quarries and factories can run on an efficieny lower than 100%. Their input, their output, and their energy
usage scale down linearly.
On the next page is a graphical presentation of an optimal solution for a specific fixed arrangement of buildings.
Quarries are yellow, factories are blue, and markets are red. G stands for gold, D stands for diamond, J stands
for jewellery. The efficiencies are shown within the circles.

In principle it is possible to send resources in opposing directions at the same time over a connection, but this
example makes no use of that. The energy consumption in this example is (82.5% + 37.5% + 60% + 10.40% +
60% + 10.91%) · 100 + (100% + 96.19%) · 300, which (with more decimal digits) is exactly 850. The total revenue
in this example is (with more decimal digits than in the figure) ￡(240 + 145.468) · 150 +￡(66.8129 + 90) · 200 +
￡117.719 · 1000, which (with more decimal digits) is ￡206902.0468.
Your task is to place the buildings, set the efficiencies, and route the resources so that the total revenue is
maximised.
1. Write a program P1 in a programming language of your choice that creates an .lp file and then calls
glpsol to solve the task for a fixed placement of buildings.
2. Since for every location there are three possible buildings, there are 312 = 531 441 many placements of
buildings in total. Write a program P2 that calls your program P1 on each placement and selects the
optimal one. My old laptop can solve 1000 such LPs in roughly 5 seconds, so this computation takes less
than one hour.
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关键词一 关键词二 关键词三 关键词四 关键词五 和法规和的发更好的风格和 ECON 615 FINC 612 CSC148 COMP 639 ACCT 203 ACCT 211 PSYC 101 MTH2009 COMP52315 PSYCO 432 statistics MATH4063 11 xxx 1 MA1MSP MAST30028 MATH3888 CS341 EEE30002 ES2F5 MCD4160 CC0933 ECON 1101 MCHM3001 CHEM3118 COMMGMT 2511 COMP41280 STAT 631 24T1 IRE379 SENG365 ECON433 FIT3139 MATH4602 LING5621M FINS5516 ECON3208 MN2177 L2 SM EEET1415 Finance DS4023 COMP3004 7CCSMRTS K1S5B6 Stat230 CSCI4211 CSI2132 ECON30130 MAS6100 ENVS222 COM2107 INFO1112 STAT 4004 FIT2100 comp2022 COMP4691 Physics 307 Econ 659 probability CSCI316 fir29 CSCI203 COMP3160 COMP6714 INFO1113 Physics 7B Physics Photonics S203031 STAT2005 COMP90015 CSCI 2110 CSCC46 Information CSC477 COMP4650 Statistical COMP 346 COMP1017 ELEC340 MATH1007 Programming function STAT 244 CS 134 Java cse13s Math 108A FW20 ECON3389 CSE 130 Science 331 COMP9020 engineering COSC 445 CSE 5523 GAME2012 visualization MATH 235 Math 370 CSC343 COGS 108 EE524 COMP10200 STAT 416 3FK4 MSCI 311 ECON6113 ACC40700 EMESTER1 MAS8383 ECO 512 STAT 8310 CMN3102 MA577 CMPT 225 COMP0045 Methods Equations MATH 113 Math 3283W ICS-33 EN4302/ENT603 BIA B350F MA318 MTHM506 MECH 5315M ECONOMICS MAS8382 COM 2004 PX3142 XJEL 3662 STAT 231 MGT B399F PX4131 COM2108 30AM MSCI521 ECONM1015 ACFI304 GR5241 MATH10101 ECON 2070 COMS31900 EFIM20011 CSE 250B ACSE-5 STAT4207 SOFT2412 ELEC 331 AY2020 MSIN0209 FIT2094 CS 241L ST404 CS 411 3D CA3 INF4002 COMP3506 SIT718 CS 188 CS 170 MATH 138 CSE 251A CMT118 DATA5207 CMPT307 CMPT459 T1 PGEE11108 COSC 3P32 ME 163 MATH96007 7QQMM203 EE6227 BA 574 STA 4234 ECO206Y1Y ECO2008 MT2300 MATH 11158 CS 527 MACM 316 CSE474 2DI70 ISE 525 COMP3411 EMAT30007 7CCSMBDT MFIN704 MFIN704W21 MfIB ECE 438 CS 436 F36 CS5344 FE 621A FE621 TBA 612 ECM3151 ECMM422 MF1 MSIN0107 ESSMENT CS 5854 MFIT 5008 MIPS R4000 ENG5274 BU52018 ENG2079 BIOA02 STA2570 F0 INF553 STAT 440 STAT3008 COMP9417 COMP6451 6COM1042 BU52006 ST303 HW-1 CISC-235 CS 510 MATH3161 ECN 140 ECE391 Comp 3613 CVEN 9625 PRG455 UESTION 1 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