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» Constraint Solving and Symbolic Execution
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PLDI
2009
ACM
15 years 5 months ago
Snugglebug: a powerful approach to weakest preconditions
Symbolic analysis shows promise as a foundation for bug-finding, specification inference, verification, and test generation. This paper addresses demand-driven symbolic analysi...
Satish Chandra, Stephen J. Fink, Manu Sridharan
81
Voted
HICSS
1994
IEEE
149views Biometrics» more  HICSS 1994»
15 years 3 months ago
Stochastic Problem Solving by Local Computation Based on Self-Organization Paradigm
We are developing a new problem-solving methodology based on a self-organization paradigm. To realize our future goal of self-organizing computational systems, we have to study co...
Yasusi Kanada, Masao Hirokawa
82
Voted
ESA
2010
Springer
162views Algorithms» more  ESA 2010»
14 years 11 months ago
Solving an Avionics Real-Time Scheduling Problem by Advanced IP-Methods
We report on the solution of a real-time scheduling problem that arises in the design of software-based operation control of aircraft. A set of tasks has to be distributed on a min...
Friedrich Eisenbrand, Karthikeyan Kesavan, Raju S....
ICRA
2010
IEEE
154views Robotics» more  ICRA 2010»
14 years 9 months ago
Multi-agent path planning with multiple tasks and distance constraints
— The DPC algorithm developed in our previous work is an efficient way of computing optimal trajectories for multiple robots in a distributed fashion with timeparameterized cons...
Subhrajit Bhattacharya, Maxim Likhachev, Vijay Kum...
IJCAI
2003
15 years 8 days ago
Approximating Optimal Policies for Agents with Limited Execution Resources
An agent with limited consumable execution resources needs policies that attempt to achieve good performance while respecting these limitations. Otherwise, an agent (such as a pla...
Dmitri A. Dolgov, Edmund H. Durfee