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LION
2009
Springer
210views Optimization» more  LION 2009»
14 years 1 months ago
Beam-ACO Based on Stochastic Sampling: A Case Study on the TSP with Time Windows
Beam-ACO algorithms are hybrid methods that combine the metaheuristic ant colony optimization with beam search. They heavily rely on accurate and computationally inexpensive boundi...
Manuel López-Ibáñez, Christia...
CPAIOR
2005
Springer
14 years 28 days ago
A Search-Infer-and-Relax Framework for Integrating Solution Methods
Abstract. We present an algorithmic framework for integrating solution methods that is based on search, inference, and relaxation and their interactions. We show that the following...
John N. Hooker
ICA3PP
2005
Springer
14 years 27 days ago
Hierarchical Parallel Simulated Annealing and Its Applications
In this paper we propose a new parallelization scheme for Simulated Annealing — Hierarchical Parallel SA (HPSA). This new scheme features coarse-granularity in parallelization, d...
Shiming Xu, Wenguang Chen, Weimin Zheng, Tao Wang,...
JGO
2010
121views more  JGO 2010»
13 years 5 months ago
The oracle penalty method
A new and universal penalty method is introduced in this contribution. It is especially intended to be applied in stochastic metaheuristics like genetic algorithms, particle swarm...
Martin Schlüter, Matthias Gerdts
CEC
2008
IEEE
14 years 1 months ago
A feasibility-preserving local search operator for constrained discrete optimization problems
Abstract— Meta-heuristic optimization approaches are commonly applied to many discrete optimization problems. Many of these optimization approaches are based on a local search op...
Martin Lukasiewycz, Michael Glaß, Christian ...