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JSS
2010
104views more  JSS 2010»
13 years 6 months ago
Using hybrid algorithm for Pareto efficient multi-objective test suite minimisation
Test suite minimisation techniques seek to reduce the effort required for regression testing by selecting a subset of test suites. In previous work, the problem has been considere...
Shin Yoo, Mark Harman
IJCNN
2008
IEEE
14 years 5 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...
DMKD
1997
ACM
308views Data Mining» more  DMKD 1997»
14 years 3 months ago
A Fast Clustering Algorithm to Cluster Very Large Categorical Data Sets in Data Mining
Partitioning a large set of objects into homogeneous clusters is a fundamental operation in data mining. The k-means algorithm is best suited for implementing this operation becau...
Zhexue Huang
GECCO
2007
Springer
166views Optimization» more  GECCO 2007»
14 years 3 months ago
Crossover: the divine afflatus in search
The traditional GA theory is pillared on the Building Block Hypothesis (BBH) which states that Genetic Algorithms (GAs) work by discovering, emphasizing and recombining low order ...
David Iclanzan