Now showing items 1-11 of 11

  • A Centrality Based Multi-Objective Disease-Gene Association Approach Using Genetic Algorithms 

    Kennedy Collins, Tyler
    The Disease Gene Association Problem (DGAP) is a bioinformatics problem in which genes are ranked with respect to how involved they are in the presentation of a particular disease. Previous approaches have shown the strength ...
  • Deep Learning Concepts for Evolutionary Art 

    Tanjil, Fazle
    A deep convolutional neural network (CNN) trained on millions of images forms a very high-level abstract overview of any given target image. Our primary goal is to use this high-level content information of a given target ...
  • Efficient Merging and Decomposition Variants of Cooperative Particle Swarm Optimization for Large Scale Problems 

    Douglas, Jay
    For large-scale optimization problems (LSOPs), an increased problem size reduces performance by both increasing the landscape complexity, as well as exponentially increasing the search space size. These contributing factors ...
  • Image Evolution Using 2D Power Spectra 

    Gircys, Michael
    Procedurally generated textures have seen use in many applications, are a high-interest topic when exploring evolutionary algorithms, and hold a central interest for digital art. However, there is an existing difficulty ...
  • Modal and Relevance Logics for Qualitative Spatial Reasoning 

    Ghosh, Pranab kumar
    Qualitative Spatial Reasoning (QSR) is an alternative technique to represent spatial relations without using numbers. Regions and their relationships are used as qualitative terms. Mostly peer qualitative spatial reasonings ...
  • Modelling and Proving Cryptographic Protocols in the Spi Calculus using Coq 

    Tonet, Adam
    The spi calculus is a process algebra used to model cryptographic protocols. A process calculus is a means of modelling a system of concurrently interacting agents, and provides tools for the description of communications ...
  • Objective reduction in many-objective optimization problems 

    Sen Gupta, Arpi
    Many-objective optimization problems (MaOPs) are multi-objective optimization problems which have more than three objectives. MaOPs face significant challenges because of search efficiency, computational cost, decision ...
  • A Relation-Algebraic Approach to L - Fuzzy Topology 

    Imangazin, Nurbek
    Any science deals with the study of certain models of the real world. However, a model is always an abstraction resulting in some uncertainty, which must be considered. The theory of fuzzy sets is one way of formalizing ...
  • Surface Areas of Some Interconnection Networks 

    Salahi, Fatemeh
    An interesting property of an interconnected network (G) is the number of nodes at distance i from an arbitrary processor (u), namely the node centered surface area. This is an important property of a network due to its ...
  • Swarm-based Algorithms for Neural Network Training 

    McLean, Reginald
    The main focus of this thesis is to compare the ability of various swarm intelligence algorithms when applied to the training of artificial neural networks. In order to compare the performance of the selected swarm ...
  • Using Deep Learning for Predicting Stock Trends 

    Fazeli, Arvand
    Deep learning has shown great promise in solving complicated problems in recent years. One applicable area is finance. In this study, deep learning will be used to test the predictability of stock trends. Stock markets are ...