ISSN:
1013-9826
Source:
Scientific.Net: Materials Science & Technology / Trans Tech Publications Archiv 1984-2008
Topics:
Mechanical Engineering, Materials Science, Production Engineering, Mining and Metallurgy, Traffic Engineering, Precision Mechanics
Notes:
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
Type of Medium:
Electronic Resource
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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