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» A lookahead strategy for solving large planning problems
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ESWA
2007
100views more  ESWA 2007»
14 years 9 months ago
Using memetic algorithms with guided local search to solve assembly sequence planning
The goal of assembly planning consists in generating feasible sequences to assemble a product and selecting an efficient assembly sequence from which related constraint factors su...
Hwai-En Tseng, Wen-Pai Wang, Hsun-Yi Shih
ISBI
2004
IEEE
15 years 10 months ago
SCIRun/BioPSE: Integrated Problem Solving Environment for Bioelectric Field Problems and Visualization
SCIRun is a general purpose problem solving environment that seeks to integrate the steps of preparing, executing, and visualizing simulations of physical and biological systems. ...
Robert S. MacLeod, David M. Weinstein, J. Davison ...
JAIR
2010
145views more  JAIR 2010»
14 years 8 months ago
Planning with Noisy Probabilistic Relational Rules
Noisy probabilistic relational rules are a promising world model representation for several reasons. They are compact and generalize over world instantiations. They are usually in...
Tobias Lang, Marc Toussaint
AISC
2008
Springer
14 years 11 months ago
Strategies for Solving SAT in Grids by Randomized Search
Grid computing offers a promising approach to solving challenging computational problems in an environment consisting of a large number of easily accessible resources. In this pape...
Antti Eero Johannes Hyvärinen, Tommi A. Juntt...
VISUALIZATION
1993
IEEE
15 years 1 months ago
GRASPARC: A Problem Solving Environment Integrating Computation and Visualization
Visualization has proved an e ective tool in the understanding of large data sets in computational science and engineering. There is growing interest today in the development of p...
Ken Brodlie, A. Poon, Helen Wright, L. Brankin, G....