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IPPS
2008
IEEE
14 years 5 months ago
A genetic programming approach to solve scheduling problems with parallel simulation
—Scheduling and dispatching are two ways of solving production planning problems. In this work, based on preceding works, it is explained how these two approaches can be combined...
Andreas Beham, Stephan M. Winkler, Stefan Wagner 0...
ILP
2005
Springer
14 years 4 months ago
Learning Teleoreactive Logic Programs from Problem Solving
In this paper, we focus on the problem of learning reactive skills for use by physical agents. We propose a new representation for such procedures, teleoreactive logic programs, al...
Dongkyu Choi, Pat Langley
IPPS
1999
IEEE
14 years 3 months ago
Solving Satisfiability Problems on FPGAs using Experimental Unit Propagation Heuristic
This paperpresents new resultson anapproach for solvingsatisfiability problems (SAT), that is, creating a logic circuit that is specialized to solve each problem instance on Field ...
Takayuki Suyama, Makoto Yokoo, Akira Nagoya
PDPTA
1996
14 years 12 days ago
Solving a 2D Knapsack Problem on an Associative Computer Augmented with a Linear Network
This paper describes a parallelization of the sequential dynamic programming method for solving a 2D knapsack problem where multiples of n rectangular objects are optimally packed...
Darrell R. Ulm, Johnnie W. Baker
ICRA
2010
IEEE
119views Robotics» more  ICRA 2010»
13 years 9 months ago
Solving the continuous time multiagent patrol problem
— This paper compares two algorithms to solve a multiagent patrol problem with uncertain durations. The first algorithm is reactive and allows adaptive and robust behavior, whil...
Jean-Samuel Marier, Camille Besse, Brahim Chaib-dr...