In this thesis, a global maximum power point tracking (GMPPT) technique based on deep reinforcement learning (DRL) with the use of demonstrations is developed and applied to photovoltaic (PV) systems under partial shading ...

In the field of Evolutionary Algorithms (EA), what does constitutes a hard optimization problem?, why certain optimization problems are more difficult to solve? The answers to these questions can provide useful information, ...

Information security is an important and growing need. Attacks on computer systems are constant and increasing in number, while they become more complex and difficult to detect. Unlike systems that try to detect and prevent, ...

In this thesis I present an evolutionary computation based solution to the Circle Packing Problem (ECPP). The Circle Packing Problem consists of placing a set of circles into a container without overlaps; a problem known ...

This thesis explores the use of qualitative reasoning to predict the behavior of a dynamical system given a change in one of its parameters based upon a qualitative representation of its bifurcation diagram. Three algorithms ...