Car racing is a successful genre of videogames, as proved, for example, by the racing simulator saga, Gran Turismo. In this genre of games, players not only race but they are also involved in the process of setting up the car, assuming the role of a technician/mechanic/engineer. Generally, this configuration deals with a large set of parameters that range from the amount of fuel loaded into the...

The balance of exploration versus exploitation (EvE) is a key issue on evolutionary computation. In this paper we will investigate how an adaptive controller aimed to perform Operator Selection can be used to dynamically manage the EvE balance required by the search, showing that the search strategies determined by this control paradigm lead to an improvement of solution quality found by the ev...

We present quantitative models for the selection pressure of cellular evolutionary algorithms structured in two dimensional regular lattices. We derive models based on probabilistic difference equations for synchronous and several asynchronous cell update policies. Theoretical results are in agreement with experimental values and show that the selection intensity can be controlled by using diff...

Today, researches for singing by computer have attracted attention. VOCALOID is an application to realize that aim. By inputing lyrics and melody, users can make songs sung by the computer. In order to make the singing voice more human , users must control frequency curve very carefully. Comparing with inputing lyrics or melody, this controlling presents heavy overhead for users. In this resear...

Parameterized evolutionary algorithms (EAs) have been a standard part of the Evolutionary Computation community from its inception. The widespread use and applicability of EAs is due in part to the ability to adapt an EA to a particular problem-solving context by tuning its parameters. However, tuning EA parameters can itself be a challenging task since EA parameters interact in highly non-line...

Evolutionary computation techniques have been widely studied to automate the synthesis of behavioural control for robots. In online evolution, an evolutionary algorithm is executed on the robots themselves during task execution so as to continuously optimise the robot controllers. Online evolution provides numerous potential benefits, including enabling robots to modify their behaviour in respo...

It has long been recognised that the choice of recombination and mutation operators and the rates at which they are applied to a Genetic Algorithm will have a significant effect on the outcome of the evolutionary search, with sub-optimal values often leading to poor performance. In this paper an evolutionary algorithm (APES) is presented within which both the units of heredity and the probabili...