• Publications
  • Influence
Parameter Setting in Evolutionary Algorithms
TLDR
This book gives the reader a solid perspective on the different approaches that have been proposed to automate control of these parameters as well as understanding their interactions. Expand
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Dependency Structure Matrix, Genetic Algorithms, and Effective Recombination
TLDR
This paper develops an automated dependency structure matrix clustering technique and utilizes it to design a model-building genetic algorithm that learns and delivers the problem structure. Expand
  • 75
  • 9
Influence of selection and replacement strategies on linkage learning in BOA
TLDR
The Bayesian optimization algorithm (BOA) uses Bayesian networks to learn linkages between the decision variables of an optimization problem. Expand
  • 56
  • 7
  • PDF
Differences in the chemical structure of the lignins from sugarcane bagasse and straw.
This study has been funded by the Spanish projects AGL2011-25379, AGL2014-53730-R and CTQ2014-60764-JIN (co-financed by FEDER funds), the CSIC project 2014-40E-097 and the EU-projects LIGNODECOExpand
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Analyzing Probabilistic Models in Hierarchical BOA
TLDR
The hierarchical Bayesian optimization algorithm (hBOA) can solve nearly decomposable and hierarchical problems of bounded difficulty in a robust and scalable manner by building and sampling probabilistic models of promising solutions. Expand
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Lipophilic phytochemicals from sugarcane bagasse and straw
Abstract The composition of lipophilic phytochemicals in sugarcane bagasse and straw, the two major residues of sugarcane processing, was investigated in detail by gas chromatography and massExpand
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Adaptive Population Sizing Schemes in Genetic Algorithms
  • F. Lobo, C. Lima
  • Engineering, Computer Science
  • Parameter Setting in Evolutionary Algorithms
  • 2007
TLDR
This chapter presents a review of adaptive population sizing schemes used in genetic algorithms. Expand
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  • PDF
A review of adaptive population sizing schemes in genetic algorithms
TLDR
This paper reviews the topic of population sizing in genetic algorithms by revisiting theoretical models which rely on a facetwise decomposition of genetic algorithms, and then moves on to various self-adjusting population sizing schemes that have been proposed in the literature. Expand
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Substructural Neighborhoods for Local Search in the Bayesian Optimization Algorithm
TLDR
Using substructural neighborhoods for local search in BOA significatively reduces the number of generations necessary to converge to optimal solutions and thus provides substantial speedups. Expand
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Determination of Eucalyptus spp lignin S/G ratio: a comparison between methods.
The syringyl/guaiacyl ratio was determined for six different Eucalyptus spp. wood clones cultivated in four regions in Brazil. The determinants were made by pyrolysis-gas chromatography-massExpand
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