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» Heuristics for Planning with Action Costs
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EVOW
2010
Springer
13 years 10 months ago
On the Benefit of Sub-optimality within the Divide-and-Evolve Scheme
Divide-and-Evolve (DaE) is an original "memeticization" of Evolutionary Computation and Artificial Intelligence Planning. DaE optimizes either the number of actions, or t...
Jacques Bibai, Pierre Savéant, Marc Schoena...
AI
2012
Springer
12 years 3 months ago
Plan recognition in exploratory domains
This paper describes a challenging plan recognition problem that arises in environments in which agents engage widely in exploratory behavior, and presents new algorithms for eff...
Ya'akov Gal, Swapna Reddy, Stuart M. Shieber, Ande...
COR
2006
120views more  COR 2006»
13 years 7 months ago
A hybrid setup for a hybrid scenario: combining heuristics for the home health care problem
Home health care, i.e. visiting and nursing patients in their homes, is a growing sector in the medical service business. From a staff rostering point of view, the problem is to f...
Stefan Bertels, Torsten Fahle
ICRA
2010
IEEE
142views Robotics» more  ICRA 2010»
13 years 6 months ago
A quadratic regulator-based heuristic for rapidly exploring state space
Abstract— Kinodynamic planning algorithms like RapidlyExploring Randomized Trees (RRTs) hold the promise of finding feasible trajectories for rich dynamical systems with complex...
Elena Leah Glassman, Russ Tedrake
ET
2006
55views more  ET 2006»
13 years 7 months ago
Test Planning and Test Resource Optimization for Droplet-Based Microfluidic Systems
Recent years have seen the emergence of dropletbased microfluidic systems for safety-critical biomedical applications. In order to ensure reliability, microsystems incorporating m...
Fei Su, Sule Ozev, Krishnendu Chakrabarty