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GECCO
2006
Springer
153views Optimization» more  GECCO 2006»
14 years 14 days ago
On the local performance of simulated annealing and the (1+1) evolutionary algorithm
Simulated annealing and the (1+1) EA, a simple evolutionary algorithm, are both general randomized search heuristics that optimize any objective function with probability
Thomas Jansen, Ingo Wegener
CVPR
2008
IEEE
14 years 10 months ago
Beyond sliding windows: Object localization by efficient subwindow search
Most successful object recognition systems rely on binary classification, deciding only if an object is present or not, but not providing information on the actual object location...
Christoph H. Lampert, Matthew B. Blaschko, Thomas ...
CP
2003
Springer
14 years 2 months ago
Solving Finite Domain Constraint Hierarchies by Local Consistency and Tree Search
We provide a reformulation of the constraint hierarchies (CHs) framework based on the notion of error indicators. Adapting the generalized view of local consistency in semiring-ba...
Stefano Bistarelli, Philippe Codognet, Kin Chuen H...
IPPS
2006
IEEE
14 years 2 months ago
Parallel multiple sequence alignment with local phylogeny search by simulated annealing
The problem of multiple sequence alignment is one of the most important problems in computational biology. In this paper we present a new method that simultaneously performs multi...
Jaroslaw Zola, Denis Trystram, Andrei Tchernykh, C...
ECAI
2010
Springer
13 years 7 months ago
Local search algorithms on the Stable Marriage Problem: Experimental Studies
The stable marriage problem (SM) has a wide variety of practical applications, ranging from matching resident doctors to hospitals, to matching students to schools, or more general...
Mirco Gelain, Maria Silvia Pini, Francesca Rossi, ...