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- aggregation classification "P1".
- aggregation creator person.
- aggregation creator person.
- aggregation date "2011".
- aggregation format "application/pdf".
- aggregation hasFormat 1896263.bibtex.
- aggregation hasFormat 1896263.csv.
- aggregation hasFormat 1896263.dc.
- aggregation hasFormat 1896263.didl.
- aggregation hasFormat 1896263.doc.
- aggregation hasFormat 1896263.json.
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- aggregation hasFormat 1896263.mods.
- aggregation hasFormat 1896263.rdf.
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- aggregation hasFormat 1896263.yaml.
- aggregation isPartOf urn:isbn:9783642203633.
- aggregation isPartOf urn:issn:0302-9743.
- aggregation language "eng".
- aggregation publisher "Springer-Verlag".
- aggregation rights "I have transferred the copyright for this publication to the publisher".
- aggregation subject "Business and Economics".
- aggregation title "A hybrid dual-population genetic algorithm for the single machine maximum lateness problem".
- aggregation abstract "We consider the problem of scheduling a number of jobs, each job having a release time, a processing time and a due date, on a single machine with the objective of minimizing the maximum lateness. We developed a hybrid dual-population genetic algorithm and compared its performance with alternative methods on a new diverse data set. Extensions from a single to a dual population by taking problem specific characteristics into account can be seen as a stimulator to add diversity in the search process, which has a positive influence on the important balance between intensification and diversification. Based on a comprehensive literature study on genetic algorithms in single machine scheduling, a fair comparison of genetic operators was made.".
- aggregation authorList BK322849.
- aggregation endPage "25".
- aggregation startPage "14".
- aggregation volume "6622".
- aggregation aggregates 1896270.
- aggregation isDescribedBy 1896263.
- aggregation similarTo 978-3-642-20364-0_2.
- aggregation similarTo LU-1896263.