Digitale Medien
s.l. ; Stafa-Zurich, Switzerland
Key engineering materials
Vol. 392-394 (Oct. 2008), p. 755-760
ISSN:
1013-9826
Quelle:
Scientific.Net: Materials Science & Technology / Trans Tech Publications Archiv 1984-2008
Thema:
Maschinenbau
Notizen:
A scheduling approach using genetic algorithms (GA) was presented to optimize multipleprojects for quality project period performance with resource constraints. The model of the approachand key parameters of the algorithm including chromosome encoding and decoding, fitnesscomputation, initial population, selection and crossover were conducted. A precedence feasible listwas used in the chromosome encoding and decoding operation to reduce search space. An efficientcrossover method was developed to avoid the procedure of chromosome recovery. A comparison wasmade between the algorithm and a heuristic scheduling method with an example. The result validatesthe superiority of the approach
Materialart:
Digitale Medien
URL:
http://www.tib-hannover.de/fulltexts/2011/0528/01/57/transtech_doi~10.4028%252Fwww.scientific.net%252FKEM.392-394.755.pdf
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