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GECCO
2007
Springer
276views Optimization» more  GECCO 2007»
14 years 2 months ago
Automatic mutation test input data generation via ant colony
Fault-based testing is often advocated to overcome limitations of other testing approaches; however it is also recognized as being expensive. On the other hand, evolutionary algor...
Kamel Ayari, Salah Bouktif, Giuliano Antoniol
SODA
2008
ACM
143views Algorithms» more  SODA 2008»
13 years 9 months ago
Dynamic optimality for skip lists and B-trees
Sleator and Tarjan [39] conjectured that splay trees are dynamically optimal binary search trees (BST). In this context, we study the skip list data structure introduced by Pugh [...
Prosenjit Bose, Karim Douïeb, Stefan Langerma...
NIPS
1993
13 years 9 months ago
Optimal Stochastic Search and Adaptive Momentum
Stochastic optimization algorithms typically use learning rate schedules that behave asymptotically as (t) = 0=t. The ensemble dynamics (Leen and Moody, 1993) for such algorithms ...
Todd K. Leen, Genevieve B. Orr
ECMDAFA
2010
Springer
228views Hardware» more  ECMDAFA 2010»
13 years 11 months ago
Example-Based Sequence Diagrams to Colored Petri Nets Transformation Using Heuristic Search
Dynamic UML models like sequence diagrams (SD) lack sufficient formal semantics, making it difficult to build automated tools for their analysis, simulation and validation. A commo...
Marouane Kessentini, Arbi Bouchoucha, Houari A. Sa...
ATAL
2010
Springer
13 years 9 months ago
Heuristic search for identical payoff Bayesian games
Bayesian games can be used to model single-shot decision problems in which agents only possess incomplete information about other agents, and hence are important for multiagent co...
Frans A. Oliehoek, Matthijs T. J. Spaan, Jilles St...