000010438 001__ 10438
000010438 005__ 20180122194012.0
000010438 037__ $$a418-2016-26524
000010438 041__ $$aen
000010438 084__ $$aC63
000010438 084__ $$aQ15
000010438 245__ $$aCombinatorial optimisation of a large, constrained simulation model: an application of compressed annealing
000010438 260__ $$c2007
000010438 269__ $$a2007
000010438 300__ $$a33
000010438 336__ $$aConference Paper/ Presentation
000010438 446__ $$aEnglish
000010438 490__ $$aConference Paper
000010438 520__ $$aSimulation models are valuable tools in the analysis of complex, highly constrained
economic systems unsuitable for solution by mathematical programming.
However, model size may hamper the efforts of practitioners to efficiently identify the most valuable
configurations. This paper investigates the efficacy of a new metaheuristic
procedure, compressed annealing, for the solution of large, constrained systems. This
algorithm is used to investigate the value of incorporating a sown annual pasture, French
serradella (Ornithopus sativa Brot. cv. Cadiz), between extended cropping sequences in the
central wheat belt of Western Australia. Compressed annealing is shown to be a reliable
means of considering constraints in complex optimisation problems in agricultural economics.
It is also highlighted that the value of serradella to dryland crop rotations increases with the
initial weed burden and the profitability of livestock production.
000010438 650__ $$aResearch Methods/ Statistical Methods
000010438 6531_ $$acombinatorial optimisation
000010438 6531_ $$acrop rotation
000010438 6531_ $$asimulated annealing
000010438 700__ $$aDoole, Graeme J.
000010438 700__ $$aPannell, David J.
000010438 8564_ $$s213313$$uhttp://ageconsearch.umn.edu/record/10438/files/cp07do02.pdf
000010438 887__ $$ahttp://purl.umn.edu/10438
000010438 909CO $$ooai:ageconsearch.umn.edu:10438$$pGLOBAL_SET
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  Previous issue date: 2007
000010438 982__ $$gAustralian Agricultural and Resource Economics Society - 2007>2007 Conference (51st), February 13-16, 2007, Queenstown, New Zealand
000010438 980__ $$a418