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GECCO
2008
Springer
171views Optimization» more  GECCO 2008»
14 years 10 months ago
Particle swarm clustering ensemble
Extracting natural groups of the unlabeled data is known as clustering. To improve the stability and robustness of the clustering outputs, clustering ensembles have emerged recent...
Abbas Ahmadi, Fakhri Karray, Mohamed Kamel
AIEDU
2010
14 years 6 months ago
Supporting Collaborative Learning and E-Discussions Using Artificial Intelligence Techniques
An emerging trend in classrooms is the use of networked visual argumentation tools that allow students to discuss, debate, and argue with one another in a synchronous fashion about...
Bruce M. McLaren, Oliver Scheuer, Jan Miksatko
KBSE
2007
IEEE
15 years 3 months ago
Combined static and dynamic mutability analysis
Knowing which method parameters may be mutated during a method’s execution is useful for many software engineering tasks. We present an approach to discovering parameter referen...
Shay Artzi, Adam Kiezun, David Glasser, Michael D....
GECCO
2004
Springer
244views Optimization» more  GECCO 2004»
15 years 2 months ago
Using Clustering Techniques to Improve the Performance of a Multi-objective Particle Swarm Optimizer
In this paper, we present an extension of the heuristic called “particle swarm optimization” (PSO) that is able to deal with multiobjective optimization problems. Our approach ...
Gregorio Toscano Pulido, Carlos A. Coello Coello
KBSE
2007
IEEE
15 years 3 months ago
Using information retrieval to support design of incremental change of software
The proposed research defines an approach to combine Information Retrieval based analysis of the textual information embedded in software artifacts with program static and dynamic...
Denys Poshyvanyk, Andrian Marcus