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137
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GECCO
2006
Springer
192views Optimization» more  GECCO 2006»
15 years 6 months ago
Optimising cancer chemotherapy using an estimation of distribution algorithm and genetic algorithms
This paper presents a methodology for using heuristic search methods to optimise cancer chemotherapy. Specifically, two evolutionary algorithms - Population Based Incremental Lear...
Andrei Petrovski, Siddhartha Shakya, John A. W. Mc...
149
Voted
JGAA
2007
135views more  JGAA 2007»
15 years 2 months ago
Challenging Complexity of Maximum Common Subgraph Detection Algorithms: A Performance Analysis of Three Algorithms on a Wide Dat
Graphs are an extremely general and powerful data structure. In pattern recognition and computer vision, graphs are used to represent patterns to be recognized or classified. Det...
Donatello Conte, Pasquale Foggia, Mario Vento
116
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CCE
2004
15 years 2 months ago
Part II. Future perspective on optimization
Following from part I, which presents a retrospective on optimization, we focus here on areas that are recent active research topics and are likely to strongly influence the futur...
Ignacio E. Grossmann, Lorenz T. Biegler
264
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SWARM
2012
SPRINGER
329views Optimization» more  SWARM 2012»
13 years 10 months ago
A critical analysis of parameter adaptation in ant colony optimization
Applying parameter adaptation means operating on parameters of an algorithm while it is tackling an instance. For ant colony optimization, several parameter adaptation methods have...
Paola Pellegrini, Thomas Stützle, Mauro Birat...
127
Voted
ICCV
2011
IEEE
14 years 2 months ago
Superpixels via Pseudo-Boolean Optimization
We propose an algorithm for creating superpixels. The major step in our algorithm is simply minimizing two pseudo-boolean functions. The processing time of our algorithm on images...
Yuhang Zhang, Richard Hartley, John Mashford, Stew...