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Multi Pitch Estimation of Piano Music using Cartesian Genetic Programming with ...
Miragaia, Rolando; Reis, Gustavo; Fernandéz de Vega, Francisco; Chávez, FranciscoPiano notes recognition, or pitch estimation of piano notes has been a popular research topic for many years, and is still investigated nowadays. It is a fundamental task during the process of automatic music transcription (extracting the musical score from an acoustic signal). We take advantage of Cartesian Genetic Programming (CGP) to evolve mathematical functions that act as independent classifiers for piano...
Automatic evolution of programs for procedural generation of terrains for video...
Frade, Miguel; Fernandéz de Vega, Francisco; Cotta, CarlosNowadays the video game industry is facing a big challenge: keep costs under control as games become bigger and more complex. Creation of game content, such as character models, maps, levels, textures, sound effects and so on, represent a big slice of total game production cost. Hence, the video game industry is increasingly turning to procedural content generation to amplify the cost-effectiveness of the effor...
Breeding terrains with genetic terrain programming: the evolution of terrain ge...
Frade, Miguel; Fernandéz de Vega, Francisco; Cotta, CarlosAlthough a number of terrain generation techniques have been proposed during the last few years, all of them have some key constraints. Modelling techniques depend highly upon designer’s skills, time, and effort to obtain acceptable results, and cannot be used to automatically generate terrains. The simpler methods allow only a narrow variety of terrain types and offer little control on the outcome terrain. The...
Genetic terrain programming: an aesthetic approach to terrain generation
Frade, Miguel; Fernandéz de Vega, Francisco; Cotta, CarlosNowadays there are a wide range of techniques for terrain generation, but are focused on providing realistic terrains often neglecting the aesthetic appeal. The Genetic Terrain Programming technique, based on evolutionary design with Genetic Programming, allows designers to evolve terrains according to their aesthetic feelings or desired features. This technique evolves TPs (Terrain Programmes) that are capable...
A strategy for evaluating feasible and unfeasible test cases for the evolutiona...
Ribeiro, José Carlos Bregieiro; Zenha-Rela, Mário Alberto; Fernandéz de Vega, FranciscoEvolutionary Testing is an emerging methodology for automatically producing high quality test data. The focus of our on-going work is precisely on generating test data for the structural unit-testing of object-oriented Java programs. The primary objective is that of efficiently guiding the search process towards the definition of a test set that achieves full structural coverage of the test object. However, the...
GenTP: uma ferramenta interactiva para a geração artificial de terrenos
Frade, Miguel; Fernandéz de Vega, Francisco; Cotta, CarlosActualmente existe uma grande variedade de técnicas de geração artificial de terrenos. No entanto todas elas estão focadas em fornecer terrenos de aspecto realista, negligenciando por vezes a estética e a criatividade. Este artigo apresenta uma ferramenta interactiva para a geração artificial de terrenos, designada GenTP, inspirada nos sistemas de arte evolutiva com programação genética. Esta ferramenta permite...
Strongly-typed genetic programming and purity analysis: input domain reduction ...
Ribeiro, José Carlos Bregieiro; Zenha-Rela, Mário Alberto; Fernandéz de Vega, FranciscoSearch-based test case generation for object-oriented software is hindered by the size of the search space, which encompasses the arguments to the implicit and explicit parameters of the test object's public methods. The performance of this type of search problems can be enhanced by the definition of adequate Input Domain Reduction strategies. The focus of our on-going work is on employing evolutionary algorith...
An evolutionary approach for performing structural unit-testing on third-party ...
Ribeiro, José Carlos Bregieiro; Zenha-Rela, Mário Alberto; Fernandéz de Vega, FranciscoEvolutionary Testing is an emerging methodology for automatically generating high quality test data. The focus of this paper is on presenting an approach for generating test cases for the unit-testing of object-oriented programs, with basis on the information provided by the structural analysis and interpretation of Java bytecode and on the dynamic execution of the instrumented test object. The rationale for wo...
eCrash: a framework for performing evolutionary testing on third-party Java com...
Ribeiro, José Carlos Bregieiro; Zenha-Rela, Mário Alberto; Fernandéz de Vega, FranciscoThe focus of this paper is on presenting a tool for generating test data by employing evolutionary search techniques, with basis on the information provided by the structural analysis and interpretation of the Java bytecode of third-party Java components, and on the dynamic execution of the instrumented test object. The main objective of this approach is that of evolving a set of test cases that yields full str...
Using dynamic analysis of Java bytecode for evolutionary object-oriented unit t...
Ribeiro, José Carlos Bregieiro; Zenha-Rela, Mário Alberto; Fernandéz de Vega, FranciscoThe focus of this paper is on presenting a methodology for generating and optimizing test data by employing evolutionary search techniques, with basis on the information provided by the analysis and interpretation of Java bytecode and on the dynamic execution of the instrumented test object. The main reason to work at the bytecode level is that even when the source code is unavailable, structural testing requir...