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CONSTRAINTS
2008
138views more  CONSTRAINTS 2008»
13 years 10 months ago
Minimization of Locally Defined Submodular Functions by Optimal Soft Arc Consistency
Submodular function minimization is a polynomially-solvable combinatorial problem. Unfortunately the best known general-purpose algorithms have high-order polynomial time complexi...
Martin C. Cooper
AIPS
2006
13 years 11 months ago
Planning for PDDL3 - An OCSP Based Approach
Recent research in AI Planning is focused on improving the quality of the generated plans. PDDL3 incorporates hard and soft constraints on goals and the plan trajectory. Plan traj...
Bharat Ranjan Kavuluri, Naresh Babu Saladi, Deepak...
ASIAMS
2007
IEEE
14 years 4 months ago
Simulation of Soft Bodies with Pressure Force and the Implicit Method
The implicit approach can be used to efficiently model realistically deformable objects for large constraints such as stiffness or time. In soft bodies with pressure forces, model...
Jaruwan Mesit, Ratan K. Guha
IJCAI
2007
13 years 11 months ago
Constraint Partitioning for Solving Planning Problems with Trajectory Constraints and Goal Preferences
The PDDL3 specifications include soft goals and trajectory constraints for distinguishing highquality plans among the many feasible plans in a solution space. To reduce the compl...
Chih-Wei Hsu, Benjamin W. Wah, Ruoyun Huang, Yixin...
SSPR
2004
Springer
14 years 3 months ago
Clustering with Soft and Group Constraints
Several clustering algorithms equipped with pairwise hard constraints between data points are known to improve the accuracy of clustering solutions. We develop a new clustering alg...
Martin H. C. Law, Alexander P. Topchy, Anil K. Jai...