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» Which Dynamic Constraint Problems Can Be Solved By Ants
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175
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ECAI
2010
Springer
15 years 6 months ago
Learning When to Use Lazy Learning in Constraint Solving
Abstract. Learning in the context of constraint solving is a technique by which previously unknown constraints are uncovered during search and used to speed up subsequent search. R...
Ian P. Gent, Christopher Jefferson, Lars Kotthoff,...
GECCO
2009
Springer
107views Optimization» more  GECCO 2009»
16 years 5 days ago
Swarming along the evolutionary branches sheds light on genome rearrangement scenarios
A genome rearrangement scenario describes a series of chromosome fusion, fission, and translocation operations that suffice to rewrite one genome into another. Exact algorithmic ...
Nikolay Vyahhi, Adrien Goëffon, Macha Nikolsk...
AGENTS
2001
Springer
15 years 10 months ago
Terrain coverage with ant robots: a simulation study
In this paper, we study a simple means for coordinating teams of simple agents. In particular, we study ant robots and how they can cover terrain once or repeatedly by leaving mar...
Sven Koenig, Yaxin Liu
DATE
2007
IEEE
112views Hardware» more  DATE 2007»
15 years 12 months ago
Tool-support for the analysis of hybrid systems and models
This paper introduces a method and tool-support for the automatic analysis and verification of hybrid and embedded control systems, whose continuous dynamics are often modelled u...
Andreas Bauer 0002, Markus Pister, Michael Tautsch...
141
Voted
FLAIRS
2003
15 years 7 months ago
A Graph Based Synthesis Algorithm for Solving CSPs
Many AI tasks can be formalized as constraint satisfaction problems (CSPs), which involve finding values for variables subject to a set of constraints. While solving a CSP is an ...
Wanlin Pang, Scott D. Goodwin