We formalize the associative bandit problem framework introduced by Kaelbling as a learning-theory problem. The learning environment is modeled as a k-armed bandit where arm payof...
Alexander L. Strehl, Chris Mesterharm, Michael L. ...
In this paper we introduce an evolutionary algorithm for solving a copper mine planning problem. In the last 10 years this realworld problem has been tackled using linear integer p...
: This paper proposes the notion of problem templates (PTs), a concept based on theories of memory and expertise. These mental constructs allow experts to quickly recognise problem...
We consider the problem of designing error correcting codes (ECC), a hard combinatorial optimization problem of relevance in the field of telecommunications. This problem is firs...
Jhon Edgar Amaya, Carlos Cotta, Antonio J. Fern&aa...
We present some proposals to approximately solve a period vehicle routing problem used to model the extraction of oil from a set of onshore oil wells in Brazil. This problem diffe...
Luciana B. Goncalves, Luiz Satoru Ochi, Simone L. ...