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ATAL
2010
Springer
13 years 8 months ago
Deception in networks of mobile sensing agents
Recent studies have investigated how a team of mobile sensors can cope with real world constraints, such as uncertainty in the reward functions, dynamically appearing and disappea...
Viliam Lisý, Roie Zivan, Katia P. Sycara, M...
GECCO
2008
Springer
129views Optimization» more  GECCO 2008»
13 years 8 months ago
Searching for liveness property violations in concurrent systems with ACO
Liveness properties in concurrent systems are, informally, those properties that stipulate that something good eventually happens during execution. In order to prove that a given ...
Enrique Alba, J. Francisco Chicano
GECCO
2008
Springer
182views Optimization» more  GECCO 2008»
13 years 8 months ago
Scaling ant colony optimization with hierarchical reinforcement learning partitioning
This paper merges hierarchical reinforcement learning (HRL) with ant colony optimization (ACO) to produce a HRL ACO algorithm capable of generating solutions for large domains. Th...
Erik J. Dries, Gilbert L. Peterson
GECCO
2008
Springer
238views Optimization» more  GECCO 2008»
13 years 8 months ago
Using multiple offspring sampling to guide genetic algorithms to solve permutation problems
The correct choice of an evolutionary algorithm, a genetic representation for the problem being solved (as well as their associated variation operators) and the appropriate values...
Antonio LaTorre, José Manuel Peña, V...
IWC
2007
120views more  IWC 2007»
13 years 7 months ago
Visualizing set concordance with permutation matrices and fan diagrams
Scientific problem solving often involves concordance (or discordance) analysis among the result sets from different approaches. For example, different scientific analysis met...
Bo Hyoung Kim, Bongshin Lee, Jinwook Seo