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» Iterated local search vs. hyper-heuristics: Towards general-...
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CEC
2010
IEEE
13 years 6 months ago
Iterated local search vs. hyper-heuristics: Towards general-purpose search algorithms
An important challenge within hyper-heuristic research is to design search methodologies that work well, not only across different instances of the same problem, but also across di...
Edmund K. Burke, Timothy Curtois, Matthew R. Hyde,...
IPPS
2010
IEEE
13 years 2 months ago
Large neighborhood local search optimization on graphics processing units
Local search (LS) algorithms are among the most powerful techniques for solving computationally hard problems in combinatorial optimization. These algorithms could be viewed as &q...
Thé Van Luong, Nouredine Melab, El-Ghazali ...
SGAI
2007
Springer
13 years 11 months ago
Escaping Local Optima: Constraint Weights vs. Value Penalties
Constraint Satisfaction Problems can be solved using either iterative improvement or constructive search approaches. Iterative improvement techniques converge quicker than the cons...
Muhammed Basharu, Inés Arana, Hatem Ahriz
UAI
2003
13 years 6 months ago
Systematic vs. Non-systematic Algorithms for Solving the MPE Task
The paper explores the power of two systematic Branch and Bound search algorithms that exploit partition-based heuristics, BBBT (a new algorithm for which the heuristic informatio...
Radu Marinescu 0002, Kalev Kask, Rina Dechter
GECCO
2008
Springer
131views Optimization» more  GECCO 2008»
13 years 6 months ago
A new memetic strategy for the numerical treatment of multi-objective optimization problems
In this paper we propose a novel iterative search procedure for multi-objective optimization problems. The iteration process – though derivative free – utilizes the geometry o...
Oliver Schütze, Gustavo Sanchez, Carlos A. Co...