By Topic

2013 13th UK Workshop on Computational Intelligence (UKCI)

Date 9-11 Sept. 2013

Filter Results

Displaying Results 1 - 25 of 56
  • [Front cover]

    Publication Year: 2013, Page(s): 1
    Request permission for commercial reuse | PDF file iconPDF (839 KB)
    Freely Available from IEEE
  • [Blank page]

    Publication Year: 2013, Page(s): 1
    Request permission for commercial reuse | PDF file iconPDF (1 KB)
    Freely Available from IEEE
  • [Title page]

    Publication Year: 2013, Page(s): 1
    Request permission for commercial reuse | PDF file iconPDF (101 KB)
    Freely Available from IEEE
  • [Copyright notice]

    Publication Year: 2013, Page(s): 1
    Request permission for commercial reuse | PDF file iconPDF (63 KB)
    Freely Available from IEEE
  • Foreword

    Publication Year: 2013, Page(s): iii
    Request permission for commercial reuse | PDF file iconPDF (84 KB) | HTML iconHTML
    Freely Available from IEEE
  • Organisation committee

    Publication Year: 2013, Page(s):iv - v
    Request permission for commercial reuse | PDF file iconPDF (96 KB)
    Freely Available from IEEE
  • Table of contents

    Publication Year: 2013, Page(s):vi - viii
    Request permission for commercial reuse | PDF file iconPDF (144 KB)
    Freely Available from IEEE
  • Evolving gene regulatory networks with mobile DNA mechanisms

    Publication Year: 2013, Page(s):1 - 7
    Request permission for commercial reuse | Click to expandAbstract | PDF file iconPDF (640 KB) | HTML iconHTML

    This paper uses a recently presented abstract, tuneable Boolean regulatory network model extended to consider aspects of mobile DNA, such as transposons. The significant role of mobile DNA in the evolution of natural systems is becoming increasingly clear. This paper shows how dynamically controlling network node connectivity and function via transposon-inspired mechanisms can be selected for in c... View full abstract»

    Full text access may be available. Click article title to sign in or learn about subscription options.
  • Combining biochemical network motifs within an ARN-agent control system

    Publication Year: 2013, Page(s):8 - 15
    Request permission for commercial reuse | Click to expandAbstract | PDF file iconPDF (459 KB) | HTML iconHTML

    The Artificial Reaction Network (ARN) is an Artificial Chemistry representation inspired by cell signaling networks. The ARN has previously been applied to the simulation of the chemotaxis pathway of Escherichia coli and to the control of limbed robots. In this paper we discuss the design of an ARN control system composed of a combination of network motifs found in actual biochemical networks. Usi... View full abstract»

    Full text access may be available. Click article title to sign in or learn about subscription options.
  • Evolving neural networks using ant colony optimization with pheromone trail limits

    Publication Year: 2013, Page(s):16 - 23
    Request permission for commercial reuse | Click to expandAbstract | PDF file iconPDF (2298 KB) | HTML iconHTML

    The back-propagation (BP) technique is a widely used technique to train artificial neural networks (ANNs). However, BP often gets trapped in a local optimum. Hence, hybrid training was introduced, e.g., a global optimization algorithm with BP, to address this drawback. The key idea of hybrid training is to use global optimization algorithms to provide BP with good initial connection weights. In hy... View full abstract»

    Full text access may be available. Click article title to sign in or learn about subscription options.
  • Reconstructing regulatory networks in Streptomyces using evolutionary algorithms

    Publication Year: 2013, Page(s):24 - 30
    Request permission for commercial reuse | Click to expandAbstract | PDF file iconPDF (1063 KB) | HTML iconHTML

    Reconstructing biological networks is vital in developing our understanding of nature. Biological systems of particular interest are bacteria that can produce antibiotics during their life cycle. Such an organism is the soil dwelling bacterium Streptomyces coelicolor. Although some of the genes involved in the production of antibiotics in the bacterium have been identified, how these genes are reg... View full abstract»

    Full text access may be available. Click article title to sign in or learn about subscription options.
  • Stepwise modelling of biochemical pathways based on qualitative model learning

    Publication Year: 2013, Page(s):31 - 37
    Request permission for commercial reuse | Click to expandAbstract | PDF file iconPDF (1132 KB) | HTML iconHTML

    Modelling of biochemical pathways in a computational way has received considerable attention over the last decade from biochemistry, computing sciences, and mathematics. In this paper we present an approach to evolutionarily stepwise constructing models of biochemical pathways by a qualitative model learning methodology. Given a set of reactants involved in a target biochemical pathway, atomic com... View full abstract»

    Full text access may be available. Click article title to sign in or learn about subscription options.
  • Measuring the directional distance between fuzzy sets

    Publication Year: 2013, Page(s):38 - 45
    Cited by:  Papers (2)
    Request permission for commercial reuse | Click to expandAbstract | PDF file iconPDF (1388 KB) | HTML iconHTML

    The measure of distance between two fuzzy sets is a fundamental tool within fuzzy set theory. However, current distance measures within the literature do not account for the direction of change between fuzzy sets; a useful concept in a variety of applications, such as Computing With Words. In this paper, we highlight this utility and introduce a distance measure which takes the direction between s... View full abstract»

    Full text access may be available. Click article title to sign in or learn about subscription options.
  • Fuzzy interpolation and extrapolation using shift ratio and overall weight measurement based on areas of fuzzy sets

    Publication Year: 2013, Page(s):46 - 53
    Cited by:  Papers (1)
    Request permission for commercial reuse | Click to expandAbstract | PDF file iconPDF (1002 KB) | HTML iconHTML

    Conventional fuzzy reasoning methods requires compact fuzzy rule base to infer a result, but due to incomplete data or lack of expertise knowledge, compact rule bases are not always available. Fuzzy interpolation methods have been widely researched to reasonably allow the interpolation a fuzzy result using the nearest available rules. Chang et al. [24] proposed a novel interpolation method which e... View full abstract»

    Full text access may be available. Click article title to sign in or learn about subscription options.
  • Comparison of crisp systems and fuzzy systems in agent-based simulation: A case study of soccer penalties

    Publication Year: 2013, Page(s):54 - 61
    Request permission for commercial reuse | Click to expandAbstract | PDF file iconPDF (473 KB) | HTML iconHTML

    The Belief-Desire-Intention (BDI) software model is an example of a reasoning architecture for a bounded rational software agent. In our research we plan to expand the application of the BDI software model to the area of simulating human behaviour in social and socio-technical systems. To this effect, in this paper we explore the differences in using a classical crisp rule-based approach and a fuz... View full abstract»

    Full text access may be available. Click article title to sign in or learn about subscription options.
  • Minkowski compactness measure

    Publication Year: 2013, Page(s):62 - 66
    Request permission for commercial reuse | Click to expandAbstract | PDF file iconPDF (1098 KB) | HTML iconHTML

    Many compactness measures are available in the literature. In this paper we present a generalised compactness measure Cq(S) which unifies previously existing definitions of compactness. The new measure is based on Minkowski distances and incorporates a parameter q which modifies the behaviour of the compactness measure. Different shapes are considered to be most compact depending on the... View full abstract»

    Full text access may be available. Click article title to sign in or learn about subscription options.
  • The X-mu representation of fuzzy sets — Regaining the excluded middle

    Publication Year: 2013, Page(s):67 - 73
    Cited by:  Papers (1)
    Request permission for commercial reuse | Click to expandAbstract | PDF file iconPDF (354 KB) | HTML iconHTML

    Fuzzy sets are a good model of the flexible definitions used in human language, but are not always in accordance with human reasoning because they do not satisfy the law of the excluded middle. In this paper, we outline the X-μ approach, a new method of representing, visualizing and calculating functions of fuzzy quantities. Using simple examples, we illustrate that the law of the excluded ... View full abstract»

    Full text access may be available. Click article title to sign in or learn about subscription options.
  • Towards the evolution of novel vertical-axis wind turbines

    Publication Year: 2013, Page(s):74 - 81
    Request permission for commercial reuse | Click to expandAbstract | PDF file iconPDF (1499 KB) | HTML iconHTML

    Renewable and sustainable energy is one of the most important challenges currently facing mankind. Wind has made an increasing contribution to the world's energy supply mix, but still remains a long way from reaching its full potential. In this paper, we investigate the use of artificial evolution to design vertical-axis wind turbine prototypes that are physically instantiated and evaluated under ... View full abstract»

    Full text access may be available. Click article title to sign in or learn about subscription options.
  • Simulating swarm behaviuors for optimisation by learning from neighbours

    Publication Year: 2013, Page(s):82 - 87
    Request permission for commercial reuse | Click to expandAbstract | PDF file iconPDF (1248 KB) | HTML iconHTML

    Competitive particle swarm optimizer (ComPSO) is a novel swarm intelligence algorithm that does not need any memory. Different from the canonical particle swarm optimizer (PSO), neither gbest nor pbest needs to be stored in ComPSO, and the algorithm is extremely simple in implementation. ComPSO has shown to be highly scalable to the search dimension. In the original ComPSO, two particles are rando... View full abstract»

    Full text access may be available. Click article title to sign in or learn about subscription options.
  • Multi-modal optimisation using a localised surrogates assisted evolutionary algorithm

    Publication Year: 2013, Page(s):88 - 95
    Cited by:  Papers (1)
    Request permission for commercial reuse | Click to expandAbstract | PDF file iconPDF (6024 KB) | HTML iconHTML

    There has been a steady growth in interest in niching approaches within the evolutionary computation community, as an increasing number of real world problems are discovered that exhibit multi-modality of varying degrees of intensity (modes). It is often useful to locate and memorise the modes encountered - this is because the optimal decision parameter combinations discovered may not be feasible ... View full abstract»

    Full text access may be available. Click article title to sign in or learn about subscription options.
  • Set-based genetic algorithms for solving many-objective optimization problems

    Publication Year: 2013, Page(s):96 - 103
    Request permission for commercial reuse | Click to expandAbstract | PDF file iconPDF (365 KB) | HTML iconHTML

    Many-objective optimization problems are very common and important in real-world applications, and there exist few methods suitable for them. Therefore, many-objective optimization problems are focused on in this study, and a set-based genetic algorithm is presented to effectively solve them. First, each objective of the original optimization problem is transformed into a desirability function acc... View full abstract»

    Full text access may be available. Click article title to sign in or learn about subscription options.
  • Large-scale optimization: Are co-operative co-evolution and fitness inheritance additive?

    Publication Year: 2013, Page(s):104 - 111
    Cited by:  Papers (1)
    Request permission for commercial reuse | Click to expandAbstract | PDF file iconPDF (364 KB) | HTML iconHTML

    Large-scale optimization - here referring mainly to problems with many design parameters - remains a serious challenge for optimization algorithms. When the problem at hand does not succumb to analytical treatment (an overwhelmingly commonplace situation), the engineering and adaptation of stochastic black box optimization methods tends to be a favoured approach, particularly the use of Evolutiona... View full abstract»

    Full text access may be available. Click article title to sign in or learn about subscription options.
  • Maximal-margin case-based inference

    Publication Year: 2013, Page(s):112 - 119
    Request permission for commercial reuse | Click to expandAbstract | PDF file iconPDF (945 KB) | HTML iconHTML

    The central problem in case-based reasoning (CBR) is to produce a solution for a new problem instance by using a set of existing problem-solution cases. The basic heuristic guiding CBR is the assumption that similar problems have similar solutions. CBR has been often criticized for lacking a sound theoretical basis, and there has only recently been some attempts at developing a theoretical framewo... View full abstract»

    Full text access may be available. Click article title to sign in or learn about subscription options.
  • State detection from electromyographic signals towards the control of prosthetic limbs

    Publication Year: 2013, Page(s):120 - 127
    Cited by:  Papers (1)
    Request permission for commercial reuse | Click to expandAbstract | PDF file iconPDF (730 KB) | HTML iconHTML

    This paper presents experiments in the use of an Electromyographic sensor to determine whether a person is standing, walking or running. The output of the sensor was captured and processed in a variety of different ways to extract those features that were seen to be changing as the movement state of the person changed. Experiments were carried out by adjusting the parameters used for the collectio... View full abstract»

    Full text access may be available. Click article title to sign in or learn about subscription options.
  • Partial structure learning by subset walsh transform

    Publication Year: 2013, Page(s):128 - 135
    Request permission for commercial reuse | Click to expandAbstract | PDF file iconPDF (957 KB) | HTML iconHTML

    Estimation of distribution algorithms (EDAs) use structure learning to build a statistical model of good solutions discovered so far, in an effort to discover better solutions. The non-zero coefficients of the Walsh transform produce a hypergraph representation of structure of a binary fitness function; however, computation of all Walsh coefficients requires exhaustive evaluation of the search spa... View full abstract»

    Full text access may be available. Click article title to sign in or learn about subscription options.