In reinforcement learning, an agent interacting with its environment strives to learn a policy that specifies, for each state it may encounter, what action to take. Evolutionary c...
In practical system identification, process optimization and controller design, it is often desirable to simultaneously handle several objectives and constraints. In some cases, t...
In this work, a novel optimization framework is proposed that allows the improvement of Quality of Service levels in TCP/IP based networks, by configuring the routing weights of ...
Miguel Rocha, Pedro Sousa, Paulo Cortez, Miguel Ri...
Evolutionary Computation is an exciting research field with the power to assist researchers in the task of solving hard optimization problems (i.e., problems where the exploitabl...
This paper reports the application of evolutionary computation in the automatic generation of a neural network architecture.It is a usual practice to use trial and error to find a...
E. Vonk, Lakhmi C. Jain, L. P. J. Veelenturf, R. J...