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GECCO
2009
Springer
113views Optimization» more  GECCO 2009»
16 years 1 months ago
Environmental robustness in multi-agent teams
Evolution has proven to be an effective method of training heterogeneous multi-agent teams of autonomous agents to explore unknown environments. Autonomous, heterogeneous agents ...
Terence Soule, Robert B. Heckendorn
173
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GECCO
2009
Springer
156views Optimization» more  GECCO 2009»
16 years 1 months ago
Insight knowledge in search based software testing
Software testing can be re-formulated as a search problem, hence search algorithms (e.g., Genetic Algorithms) can be used to tackle it. Most of the research so far has been of emp...
Andrea Arcuri
GECCO
2009
Springer
16 years 1 months ago
Evolution of team composition in multi-agent systems
Evolution of multi-agent teams has been shown to be an effective method of solving complex problems involving the exploration of an unknown problem space. These autonomous and het...
Joshua Rubini, Robert B. Heckendorn, Terence Soule
IEAAIE
2009
Springer
16 years 1 months ago
Using Genetic Process Mining Technology to Construct a Time-Interval Process Model
Nowadays, some process information is represented by a process model. To understand process executed in many activities, process mining technologies are now extensively studied to...
Chieh-Yuan Tsai, I-Ching Chen
PKDD
2009
Springer
149views Data Mining» more  PKDD 2009»
16 years 1 months ago
Learning to Disambiguate Search Queries from Short Sessions
Web searches tend to be short and ambiguous. It is therefore not surprising that Web query disambiguation is an actively researched topic. To provide a personalized experience for ...
Lilyana Mihalkova, Raymond J. Mooney