<?xml version="1.0" encoding="UTF-8"?><xml><records><record><source-app name="Biblio" version="6.x">Drupal-Biblio</source-app><ref-type>13</ref-type><contributors><authors><author><style face="normal" font="default" size="100%">Christos Goumopoulos</style></author><author><style face="normal" font="default" size="100%">Efthymios Housos</style></author><author><style face="normal" font="default" size="100%">Olle Liljensin</style></author></authors></contributors><titles><title><style face="normal" font="default" size="100%">Parallel Crew Scheduling on Workstation Networks using PVM</style></title><secondary-title><style face="normal" font="default" size="100%">Proceedings of the fourth European PVM-MPI Conference</style></secondary-title></titles><dates><year><style  face="normal" font="default" size="100%">1997</style></year><pub-dates><date><style  face="normal" font="default" size="100%">November</style></date></pub-dates></dates><urls><related-urls><url><style face="normal" font="default" size="100%">http://daisy.cti.gr/files/parallel Crew Sheduling.pdf</style></url></related-urls></urls><publisher><style face="normal" font="default" size="100%">Springer-Verlag</style></publisher><pub-location><style face="normal" font="default" size="100%">Cracow, Poland </style></pub-location><volume><style face="normal" font="default" size="100%">1332</style></volume><pages><style face="normal" font="default" size="100%">470-477</style></pages><isbn><style face="normal" font="default" size="100%">3-540-63697-8</style></isbn><abstract><style face="normal" font="default" size="100%">&lt;div align=&quot;justify&quot;&gt;
In this paper the ability to efficiently solve large crew scheduling
problems on a network of workstations (NOW) is presented. Large crew
scheduling problems from the Lufthansa set of problems have been solved
with a near linear speedup on the generator component of the problem.
The generator is the most time consuming component of the solution
process, which implies that a significant improvement of the overall
solution process is possible. This paper presents the first tangible
results of the HPCN Esprit project PAROS, where the complete crew
scheduling procedure on a NOW is parallelized and extended.
&lt;/div&gt;
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