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CEC
2010
IEEE
14 years 10 months ago
Many-objective Distinct Candidates Optimization using Differential Evolution on centrifugal pump design problems
Many-objective problems are difficult to solve using conventional multi-objective evolutionary algorithms (MOEAs) as these algorithms rely primarily on Pareto ranking to guide the ...
Peter Dueholm Justesen, Rasmus K. Ursem
GECCO
2003
Springer
167views Optimization» more  GECCO 2003»
15 years 2 months ago
Dimensionality Reduction via Genetic Value Clustering
Abstract. Feature extraction based on evolutionary search offers new possibilities for improving classification accuracy and reducing measurement complexity in many data mining and...
Alexander P. Topchy, William F. Punch
CEC
2007
IEEE
15 years 1 months ago
Evolution of classification rules for comprehensible knowledge discovery
This article, which lies within the data mining framework, proposes a method to build classifiers based on the evolution of rules. The method, named REC (Rule Evolution for Classif...
Emiliano Carreno, Guillermo Leguizamón, Nea...
IJCNN
2008
IEEE
15 years 4 months ago
Including multi-objective abilities in the Hybrid Intelligent Suite for decision support
— Hybrid intelligent systems (HIS) are very successful in tackling problems comprising of more than one distinct computational subtask. For instance, decision-making problems are...
Diogo Ferreira Pacheco, Flávio R. S. Olivei...
94
Voted
WEA
2007
Springer
114views Algorithms» more  WEA 2007»
15 years 3 months ago
Improving Tree Search in Phylogenetic Reconstruction from Genome Rearrangement Data
Abstract. A major task in evolutionary biology is to determine the ancestral relationships among the known species, a process generally referred as phylogenetic reconstruction. In ...
Fei Ye, Yan Guo, Andrew Lawson, Jijun Tang