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» Complexity Levels of Representing Dynamics in EA Planning
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ISQED
2008
IEEE
153views Hardware» more  ISQED 2008»
16 years 11 days ago
Accelerating Clock Mesh Simulation Using Matrix-Level Macromodels and Dynamic Time Step Rounding
Clock meshes have found increasingly wide applications in today’s high-performance IC designs. The inherent routing redundancies associated with clock meshes lead to improved cl...
Xiaoji Ye, Min Zhao, Rajendran Panda, Peng Li, Jia...
ATAL
2009
Springer
16 years 16 days ago
Distributed planning and coordination in non-deterministic environments
We present a demonstration of a multi-agent prototype for distributed planning and coordination in dynamic non-deterministic multi-actor mixed-initiative environments. The system ...
Antonín Komenda, Jirí Vokríne...
CEC
2009
IEEE
16 years 22 days ago
Mobile processes, mobile channels and complex dynamic systems
— This paper explores a process-oriented approach to complex systems design, using massive fine-grained concurrency, mobile channels and mobile processes. The complex systems st...
Eric Bonnici, Peter H. Welch
GECCO
2009
Springer
159views Optimization» more  GECCO 2009»
15 years 10 months ago
Bayesian network structure learning using cooperative coevolution
We propose a cooperative-coevolution – Parisian trend – algorithm, IMPEA (Independence Model based Parisian EA), to the problem of Bayesian networks structure estimation. It i...
Olivier Barrière, Evelyne Lutton, Pierre-He...
IROS
2008
IEEE
126views Robotics» more  IROS 2008»
16 years 11 days ago
High-dimensional underactuated motion planning via task space control
Abstract— Kinodynamic planning algorithms have the potential to find feasible control trajectories which accomplish a task even in very nonlinear or constrained dynamical system...
Alexander C. Shkolnik, Russ Tedrake