EasyLocal++ a 25-year Perspective on Local Search Frameworks
Author:
Affiliation:
1. DPIA - Intelligent Optimization Lab, University of Udine, Udine, Italy
2. DMIF - Intelligent Optimization Lab, University of Udine, Udine, Italy
Funder
Università degli Studi di Udine
Publisher
ACM
Link
https://dl.acm.org/doi/pdf/10.1145/3638530.3664140
Reference72 articles.
1. Stewart Adcock. 2005. Genetic Algorithms Utility Library (GAUL). (2005). https://gaul.sourceforge.net/ [Accessed: 2024-04-05].
2. Alexandre A. Andreatta, Sérgio E.R. Carvalho, and Celso C. Ribeiro. 1998. An object-oriented framework for local search heuristics. In Proceedings. Technology of Object-Oriented Languages. TOOLS 26 (Cat. No.98EX176). IEEE, Santa Barbara, CA, USA, 33--45.
3. Modeling and solving the steelmaking and casting scheduling problem
4. Feature-based tuning of single-stage simulated annealing for examination timetabling
5. Two-stage multi-neighborhood simulated annealing for uncapacitated examination timetabling
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