Browsing by Subject "Genetic algorithms"

Now showing items 1-10 of 10

    • Altering the granularity of neutrality in a multi-layered genetic algorithm 

      Hill, Seamus; O'Riordan, Colm (SciTePress Digital Library, 2014)
      By adopting a basic interpretation of the biological processes of transcription and translation, the multilayered GA (MGA) introduces a genotype-phenotype mapping for a haploid genotype, which allows the granularity of the ...

    • Comprehensive, quantitative bioprocess productivity monitoring using fluorescence EEM spectroscopy and chemometrics 

      Calvet, Amandine; Ryder, Alan G. (Royal Society of Chemistry, 2014)
      This study demonstrates the application of fluorescence excitation-emission matrix (EEM) spectroscopy to the quantitative predictive analysis of recombinant glycoprotein production cultured in a Chinese hamster ovary (CHO) ...

    • Design of fibre-reinforced polymer composite blades for wind and tidal turbines 

      Fagan, Edward (2017-09)
      There is substantial opportunity in the development of wind and tidal current turbines to help decarbonise national energy systems and to expand the economic potential of the European Union. However, well-documented cases ...

    • Diversifying techniques and neutrality in genetic algorithms 

      Hill, Seamus; O'Riordan, Colm (SciTePress Digital Library, 2016)
      This paper examines the implicit maintenance of diversity within a population through the inclusion of a layered genotype-phenotype map (GP-map) in a Genetic Algorithm (GA), based on the principal of Neutral theory. The ...

    • Evolving collective behaviours in simulated kilobots 

      Holland, Jane; Griffith, Josephine; O'Riordan, Colm (Association for Computing Machinery, 2018-04-09)
      The field of Evolutionary Robotics has multiple common tasks and widely used benchmark activities such as navigation, obstacle avoidance, and phototaxis. We present an evolutionary approach to learning behaviours that ...

    • Evolving Racetrack Knowledge in a Racing Game. 

      Redfern, Sam (21st National Conference on Artificial Intelligence and Cognitive Science, 2010-07-30)
      This paper discusses the use of a Genetic Algorithm (GA) to evolve waypoint-based racing lines for computer-controlled cars in an online game. One goal is the reduction of developer effort, in order to automatically produce ...

    • Examining the impact of neutrality on genetic algorithm population evolution 

      Hill, Seamus; O'Riordan, Colm (SciTePress Digital Library, 2015-11-12)
      This paper examines the introduction of neutrality as proposed by Kimura (Kimura, 1968) into the genotype-phenotype mapping of a Genetic Algorithm (GA). The paper looks at the evolution of both a simple GA (SGA) and a ...

    • A genetic algorithm with a multi-layered genotype-phenotype mapping 

      Hill, Seamus; O'Riordan, Colm (SciTePress Digital Library, 2010-08-24)
      In this paper we investigate the introduction of a multiple-layer genotype-phenotype mapping to a Genetic Algorithm (GA) which attempts to mimic more closely, the effects of nature. The motivation for introducing multiple-layers ...

    • A learning architecture for scheduling workflow applications in the cloud 

      Barrett, Enda; Howley, Enda; Duggan, Jim (IEEE, 2011-09-15)
      The scheduling of workflow applications involves the mapping of individual workflow tasks to computational resources, based on a range of functional and non-functional quality of service requirements. Workflow applications ...

    • Neutrality through transcription and translation in genetic algorithm representation 

      Hill, Seamus; O'Riordan, Colm (SciTePress Digital Library, 2012-10-05)
      This paper examines the use of the biological concepts of transcription and translation, to introduce neutrality into the representation of a genetic algorithm (GA). The aim of the paper is to attempt to identify problem ...