EconBiz - Find Economic Literature
    • Logout
    • Change account settings
  • A-Z
  • Beta
  • About EconBiz
  • News
  • Thesaurus (STW)
  • Academic Skills
  • Help
  •  My account 
    • Logout
    • Change account settings
  • Login
EconBiz - Find Economic Literature
Publications Events
Search options
Advanced Search history
My EconBiz
Favorites Loans Reservations Fines
    You are here:
  • Home
  • Search: subject:"Recurrent problems"
Narrow search

Narrow search

Year of publication
Subject
All
Machine learning 2 Mathematical programming 2 Recurrent problems 2 Algorithm 1 Algorithmus 1 Artificial intelligence 1 Betriebliche Standortwahl 1 Firm location choice 1 Künstliche Intelligenz 1 Learning 1 Learning process 1 Lernen 1 Lernprozess 1 Mathematische Optimierung 1 Scheduling problem 1 Scheduling-Verfahren 1 Theorie 1 Theory 1
more ... less ...
Online availability
All
Free 2 CC license 1
Type of publication
All
Article 2
Type of publication (narrower categories)
All
Article 1 Article in journal 1 Aufsatz in Zeitschrift 1
Language
All
English 2
Author
All
Lodi, Andrea 2 Mossina, Luca 2 Rachelson, Emmanuel 2
Published in...
All
EURO Journal on Transportation and Logistics (EJTL) 1 EURO journal on transportation and logistics 1
Source
All
ECONIS (ZBW) 1 EconStor 1
Showing 1 - 2 of 2
Cover Image
Learning to handle parameter perturbations in Combinatorial Optimization: An application to facility location
Lodi, Andrea; Mossina, Luca; Rachelson, Emmanuel - In: EURO Journal on Transportation and Logistics (EJTL) 9 (2020) 4, pp. 1-13
We present an approach to couple the resolution of Combinatorial Optimization problems with methods from Machine Learning. Specifically, our study is framed in the context where a reference discrete optimization problem is given and there exist data for many variations of such reference problem...
Persistent link: https://www.econbiz.de/10015450177
Saved in:
Cover Image
Learning to handle parameter perturbations in Combinatorial Optimization : an application to facility location
Lodi, Andrea; Mossina, Luca; Rachelson, Emmanuel - In: EURO journal on transportation and logistics 9 (2020) 4, pp. 1-13
We present an approach to couple the resolution of Combinatorial Optimization problems with methods from Machine Learning. Specifically, our study is framed in the context where a reference discrete optimization problem is given and there exist data for many variations of such reference problem...
Persistent link: https://www.econbiz.de/10012390942
Saved in:
A service of the
zbw
  • Sitemap
  • Plain language
  • Accessibility
  • Contact us
  • Imprint
  • Privacy

Loading...