'Solution quality' presentation slideshows

Migrating to SharePoint 2010

837 views • 64 slides

18 th Feb

18 th Feb. Using reachability heuristics for PO planning Planning using Planning Graphs. Then it was cruelly UnPOP ped. In the beginning it was all POP. The good times return with Re (vived) POP. 1970s-1995. 1995. 1997. 2000 -. Domination of heuristic state search approach:

688 views • 53 slides

GRASP: A Sampling Meta-Heuristic

GRASP: A Sampling Meta-Heuristic. Topics What is GRASP The Procedure Applications Merit. What is GRASP. GRASP : Greedy Randomized Adaptive Search Procedure Random Construction : TSP: randomly select next city to add High Solution Variance Low Solution Quality

584 views • 38 slides

An Improved Restart Strategy for Randomized Backtrack Search Venkata P. Guddeti

An Improved Restart Strategy for Randomized Backtrack Search Venkata P. Guddeti Constraint Systems Laboratory University of Nebraska-Lincoln Under the supervision of Dr. Berthe Y. Choueiry. Outline. Summary of contributions Background Randomized BT search with restarts

301 views • 30 slides

Distributed Constraint Optimization

CS584 - Software Multiagent Systems Lecture 12 D istributed constraint optimization II: Incomplete algorithms and recent theoretical results. Distributed Constraint Optimization. DCOP (Distributed Constraint Optimization Problem)

434 views • 29 slides

Applying Online Search Techniques to Reinforcement Learning

Applying Online Search Techniques to Reinforcement Learning. Scott Davies, Andrew Ng, and Andrew Moore Carnegie Mellon University. The Agony of Continuous State Spaces. Learning useful value functions for continuous-state optimal control problems can be difficult

389 views • 29 slides

RePOP: Reviving Partial Order Planning

RePOP: Reviving Partial Order Planning. XuanLong Nguyen & Subbarao Kambhampati {xuanlong,rao}@asu.edu Yochan Group : http://rakaposhi.eas.asu.edu/yochan. Then it was cruelly UnPOP ped. In the beginning it was all POP. The good times return with RePOP.

336 views • 21 slides

Ant Colony Optimization for Cell Routing in VLSI Chips

Ant Colony Optimization for Cell Routing in VLSI Chips. Shashank Hegde, Santosh Kelgeri. Design Flow Overview. Idea/Specifications. High Level Language Description. Synthesis & Placement. Routing. Chip Signoff. Manufacturing/Testing/Packaging. Design Flow Overview.

349 views • 18 slides