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COLT
2007
Springer
15 years 11 months ago
Property Testing: A Learning Theory Perspective
Property testing deals with tasks where the goal is to distinguish between the case that an object (e.g., function or graph) has a prespecified property (e.g., the function is li...
Dana Ron
GECCO
2007
Springer
234views Optimization» more  GECCO 2007»
15 years 11 months ago
Applying particle swarm optimization to software testing
Evolutionary structural testing is an approach to automatically generating test cases that achieve high structural code coverage. It typically uses genetic algorithms (GAs) to sea...
Andreas Windisch, Stefan Wappler, Joachim Wegener
GECCO
2007
Springer
185views Optimization» more  GECCO 2007»
15 years 11 months ago
SNDL-MOEA: stored non-domination level MOEA
There exist a number of high-performance Multi-Objective Evolutionary Algorithms (MOEAs) for solving MultiObjective Optimization (MOO) problems; two of the best are NSGA-II and -M...
Matt D. Johnson, Daniel R. Tauritz, Ralph W. Wilke...
LOCA
2007
Springer
15 years 11 months ago
Localizing Tags Using Mobile Infrastructure
This paper presents algorithms, simulations, and empirical results of a system that finds relative tag positions in 3D space using a new approach called “mobile infrastructure....
Ying Zhang, Kurt Partridge, Jim Reich
SARA
2007
Springer
15 years 11 months ago
Homogeneous Hierarchical Composition of Areas in Multi-robot Area Coverage
Multi-robot area coverage poses several research challenges. The challenge of coordinating multiple robots’ actions coupled with the challenge of minimizing the overlap in covera...
Sriram Raghavan, Ravindran B