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CEC
2011
IEEE
12 years 5 months ago
Oppositional biogeography-based optimization for combinatorial problems
Abstract—In this paper, we propose a framework for employing opposition-based learning to assist evolutionary algorithms in solving discrete and combinatorial optimization proble...
Mehmet Ergezer, Dan Simon
FOCS
2003
IEEE
13 years 10 months ago
Approximation Algorithms for Asymmetric TSP by Decomposing Directed Regular Multigraphs
A directed multigraph is said to be d-regular if the indegree and outdegree of every vertex is exactly d. By Hall’s theorem one can represent such a multigraph as a combination ...
Haim Kaplan, Moshe Lewenstein, Nira Shafrir, Maxim...
SODA
2010
ACM
397views Algorithms» more  SODA 2010»
14 years 2 months ago
Improved Approximation Algorithms for the Minimum Latency Problem via Prize-Collecting Strolls
The minimum latency problem (MLP) is a well-studied variant of the traveling salesman problem (TSP). In the MLP, the server's goal is to minimize the average latency that the...
Aaron Archer, Anna Blasiak
STACS
2009
Springer
14 years 1 days ago
On Approximating Multi-Criteria TSP
Abstract. We present approximation algorithms for almost all variants of the multicriteria traveling salesman problem (TSP), whose performances are independent of the number k of c...
Bodo Manthey
HM
2009
Springer
145views Optimization» more  HM 2009»
13 years 10 months ago
A Hybrid Solver for Large Neighborhood Search: Mixing Gecode and EasyLocal + +
We present a hybrid solver (called GELATO) that exploits the potentiality of a Constraint Programming (CP) environment (Gecode) and of a Local Search (LS) framework (EasyLocal++ )....
Raffaele Cipriano, Luca Di Gaspero, Agostino Dovie...