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Integrating local search techniques into mixed integer programming
Authors:Emilie?Danna  author-information"  >  author-information__contact u-icon-before"  >  mailto:edanna@ilog.fr"   title="  edanna@ilog.fr"   itemprop="  email"   data-track="  click"   data-track-action="  Email author"   data-track-label="  "  >Email author
Affiliation:(1) ILOG, 9 rue de Verdun, 94253 Gentilly Cedex, France;(2) Laboratoire d"rsquo"Informatique d"rsquo"Avignon, CNRS FRE 2487, 339 Chemin des Meinajariés, BP 1228, 84911 Avignon, Cedex 9,, France
Abstract:We survey the main results of the authorrsquos PhD thesis that was supervised by Claude Le Pape (ILOG, France) and Philippe Michelon (Université drsquoAvignon, France) and has been defended in June 2004. The dissertation is written in French and is available from the author. It introduces several strategies for integrating local search techniques into mixed integer programming, with an emphasis on generic algorithms.Received: June 2004, MSC classification: 90C11, 90C59
Keywords:Mixed integer programming  local search  hybrid algorithms  branch-and-price  vehicle routing  scheduling
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