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GECCO
2007
Springer
132views Optimization» more  GECCO 2007»
16 years 22 days ago
Empirical analysis of ideal recombination on random decomposable problems
This paper analyzes the behavior of a selectorecombinative genetic algorithm (GA) with an ideal crossover on a class of random additively decomposable problems (rADPs). Specifical...
Kumara Sastry, Martin Pelikan, David E. Goldberg
STACS
2005
Springer
16 years 2 days ago
Worst-Case and Average-Case Approximations by Simple Randomized Search Heuristics
Abstract. In recent years, probabilistic analyses of algorithms have received increasing attention. Despite results on the average-case complexity and smoothed complexity of exact ...
Carsten Witt
KELSI
2004
Springer
15 years 12 months ago
A Randomized Algorithm for Distance Matrix Calculations in Multiple Sequence Alignment
Multiple sequence alignment (MSA) is a vital problem in biology. Optimal alignment of multiple sequences becomes impractical even for a modest number of sequences [1] since the gen...
Sanguthevar Rajasekaran, Vishal Thapar, Hardik Dav...
STACS
1999
Springer
15 years 10 months ago
Balanced Randomized Tree Splitting with Applications to Evolutionary Tree Constructions
We present a new technique called balanced randomized tree splitting. It is useful in constructing unknown trees recursively. By applying it we obtain two new results on efficient ...
Ming-Yang Kao, Andrzej Lingas, Anna Östlin
ECCV
1994
Springer
15 years 10 months ago
Markov Random Field Models in Computer Vision
A variety of computer vision problems can be optimally posed as Bayesian labeling in which the solution of a problem is dened as the maximum a posteriori (MAP) probability estimate...
Stan Z. Li