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    Enabling and Measuring Complexity in Evolving Designs using Generative Representations for Artificial Architecture 

    Harrington, Adrian (Brock University, 2012-11-07)
    As the complexity of evolutionary design problems grow, so too must the quality of solutions scale to that complexity. In this research, we develop a genetic programming system with individuals encoded as tree-based ...
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    Automatic Inference of Graph Models for Complex Networks with Genetic Programming 

    Bailey, Alexander (Brock University, 2013-07-26)
    Complex networks can arise naturally and spontaneously from all things that act as a part of a larger system. From the patterns of socialization between people to the way biological systems organize themselves, complex ...
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    Passive Solar Building Design Using Genetic Programming 

    Oraei Gholami, Mohammad Mahdi (Brock University, 2013-10-28)
    Passive solar building design is the process of designing a building while considering sunlight exposure for receiving heat in winter and rejecting heat in summer. The main goal of a passive solar building design is to ...
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    Real-Time Automatic Object Classification and Tracking using Genetic Programming and NVIDIA R CUDA TM 

    Maghoumi, Mehran (Brock University, 2014-08-01)
    Genetic Programming (GP) is a widely used methodology for solving various computational problems. GP's problem solving ability is usually hindered by its long execution times. In this thesis, GP is applied toward real-time ...
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    Network Similarity Measures and Automatic Construction of Graph Models using Genetic Programming 

    Harrison, Kyle Robert (Brock University, 2014-09-05)
    A complex network is an abstract representation of an intricate system of interrelated elements where the patterns of connection hold significant meaning. One particular complex network is a social network whereby the ...
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    Object-Oriented Genetic Programming for the Automatic Inference of Graph Models for Complex Networks 

    Medland, Michael; Medland, Michael
    Complex networks are systems of entities that are interconnected through meaningful relationships. The result of the relations between entities forms a structure that has a statistical complexity that is not formed by ...
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    Disease-Gene Association Using Genetic Programming 

    Entezari Heravi, Ashkan
    As a result of mutation in genes, which is a simple change in our DNA, we will have undesirable phenotypes which are known as genetic diseases or disorders. These small changes, which happen frequently, can have extreme ...
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    Inverse Illumination Design with Genetic Programming 

    Moylan, Kelly
    Interior illumination is a complex problem involving numerous interacting factors. This research applies genetic programming towards problems in illumination design. The Radiance system is used for performing accurate ...
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    Non-photorealistic Rendering with Cartesian Genetic Programming using Graphic Processing Units 

    Bakurov, Illya
    Non-photorealistic rendering (NPR) is concerned with the algorithm generation of images having unrealistic characteristics, for example, oil paintings or watercolour. Using genetic programming to evolve aesthetically ...
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    Elliptic Curve Cryptography using Computational Intelligence 

    Ribaric, Tim
    Public-key cryptography is a fundamental component of modern electronic communication that can be constructed with many different mathematical processes. Presently, cryptosystems based on elliptic curves are becoming popular ...
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    AuthorBailey, Alexander (1)Bakurov, Illya (1)Entezari Heravi, Ashkan (1)Gircys, Michael (1)Grossi, Gina (1)Harrington, Adrian (1)Harrison, Kyle Robert (1)Maghoumi, Mehran (1)Medland, Michael (1)Moylan, Kelly (1)... View MoreSubject
    Genetic Programming (13)
    Complex Networks (4)Graph Models (3)Evolutionary Algorithms (2)Evolutionary Art (2)Evolutionary Computation (2)Evolutionary Design (2)Art (1)Artificial Architecture (1)Artificial Intelligence (1)... View MoreDate Issued2014 (2)2013 (2)2012 (1)Degree
    M.Sc. Computer Science (13)

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