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Cartesian Genetic Programming in Evolutionary Art
Veselý, Pavel ; Hyrš, Martin (referee) ; Petrlík, Jiří (advisor)
This thesis deals with use of Cartesian Genetic Programming (CGP) in Evolutionary Art (EvoArt). Text presents introduction to the topic. The rest of the thesis focuses on the process of design, implementation and testing of new method of application CGP in EvoArt. The proposed method uses CGP to create 2D vector images. Web application for EvoArt creation is made to demonstrate this method. Achieved results are presented and evaluated.
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Evolutionary approaches to image representation and generation
Romanský, Patrik ; Neruda, Roman (advisor) ; Vidnerová, Petra (referee)
This thesis focuses on exploring different variants of evolutionary algorithms in the area of image data representation and generation. In the contrast of the majority of similar works, this work differs in modular approach to the creation of evolutionary algorithms. The aim of this work is to create an extensible library for creating evolutionary algorithms and comparing the algorithms based on real image data. Compared types of evolutionary algorithms are genetic algorithm, CMA-ES and Differential evolution. Based on experiments, we assessed the success rate of individual evolutionary algorithms and proposed a parallelization of the CMA-ES method.
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Generation of Vector Images using Evolutionary Algorithms
Drázdová, Zuzana ; Pilát, Martin (advisor) ; Křen, Tomáš (referee)
The usage of evolutionary algorithms for generating images has been researched for several decades now. The potential of this approach comes from the creative power of genetic operators and broad possibilities for automated evaluation of solutions. Individuals can be either evolved to resemble an existing image or other criteria such as artistic quality can be employed. Generating vector images to resemble raster models got a lot of attention in past years. It offers several benefits. Such images can be easily scaled without any loss of accuracy. Another advantage is the option to modify individual objects in an image separately. This aspect was, so far, being neglected. We want to reach full potential of evolved images by designing a suitable algorithm. Our method generates vector images similar to given raster model that are easily editable and have an interesting artistic overlap. We developed three techniques which differ in approach to individual representation, genetic operators, evaluation and overall style of results.
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Inspiration-triggered search: Towards higher complexities by mimicking creative processes
Rybář, Milan ; Hamann, Heiko (advisor) ; Majerech, Vladan (referee)
The trap of local optima is one of the main challenges of stochastic optimization methods from machine learning. The aim of this thesis is to develop an optimization algorithm that is inspired by users interacting with Picbreeder, which is an online service that allows users to collaboratively evolve images via an artificial evolution. The idea is that their behaviours depict creative processes. We propose a general framework on the top of a common optimization technique called inspiration-triggered search, which mimics these processes. Instead of a fixed objective function the search algorithm is free to change the objective within certain constraints. The overall optimization task is to generate complex artefacts that cannot be generated by a greedy and direct optimization approach. The proposed method is tested in the domain of images, that is to find complex and aesthetically pleasant images for humans, and compared with the direct optimization. Powered by TCPDF (www.tcpdf.org)
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Cartesian Genetic Programming in Evolutionary Art
Veselý, Pavel ; Hyrš, Martin (referee) ; Petrlík, Jiří (advisor)
This thesis deals with use of Cartesian Genetic Programming (CGP) in Evolutionary Art (EvoArt). Text presents introduction to the topic. The rest of the thesis focuses on the process of design, implementation and testing of new method of application CGP in EvoArt. The proposed method uses CGP to create 2D vector images. Web application for EvoArt creation is made to demonstrate this method. Achieved results are presented and evaluated.
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