Search Results - "Krasnogor, N."

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  1. 1

    A tutorial for competent memetic algorithms: model, taxonomy, and design issues by Krasnogor, N., Smith, J.

    “…The combination of evolutionary algorithms with local search was named "memetic algorithms" (MAs) (Moscato, 1989). These methods are inspired by models of…”
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    Journal Article
  2. 2

    Measuring the similarity of protein structures by means of the universal similarity metric by Krasnogor, N., Pelta, D. A.

    Published in Bioinformatics (01-05-2004)
    “…Motivation: As an increasing number of protein structures become available, the need for algorithms that can quantify the similarity between protein structures…”
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    Journal Article
  3. 3

    An intelligent multi-restart memetic algorithm for box constrained global optimisation by Sun, J, Garibaldi, J M, Krasnogor, N, Zhang, Q

    Published in Evolutionary computation (01-03-2013)
    “…In this paper, we propose a multi-restart memetic algorithm framework for box constrained global continuous optimisation. In this framework, an evolutionary…”
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    Journal Article
  4. 4

    Self Generating Metaheuristics in Bioinformatics: The Proteins Structure Comparison Case by Krasnogor, N.

    Published in Genetic programming and evolvable machines (01-06-2004)
    “…In this paper we describe the application of a so called 'Self-Generating' Memetic Algorithm to the Maximum Contact Map Overlap problem (MAX-CMO). The maximum…”
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    Journal Article
  5. 5

    Implementing conventional logic unconventionally: Photochromic molecular populations as registers and logic gates by Chaplin, J.C., Russell, N.A., Krasnogor, N.

    Published in BioSystems (01-07-2012)
    “…In this paper we detail experimental methods to implement registers, logic gates and logic circuits using populations of photochromic molecules exposed to…”
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    Journal Article
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    On improving genetic programming for symbolic regression by Gustafson, S., Burke, E.K., Krasnogor, N.

    “…This paper reports an improvement to genetic programming (GP) search for the symbolic regression domain, based on an analysis of dissimilarity and mating. GP…”
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    Conference Proceeding
  8. 8

    EnrichNet: network-based gene set enrichment analysis by Glaab, Enrico, Baudot, Anaïs, Krasnogor, Natalio, Schneider, Reinhard, Valencia, Alfonso

    Published in Bioinformatics (15-09-2012)
    “…Assessing functional associations between an experimentally derived gene or protein set of interest and a database of known gene/protein sets is a common task…”
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    Real-coded memetic algorithms with crossover hill-climbing by Lozano, Manuel, Herrera, Francisco, Krasnogor, Natalio, Molina, Daniel

    Published in Evolutionary computation (01-09-2004)
    “…This paper presents a real-coded memetic algorithm that applies a crossover hill-climbing to solutions produced by the genetic operators. On the one hand, the…”
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    Journal Article
  11. 11

    Automated tile design for self-assembly conformations by Terrazas, G., Krasnogor, N., Kendall, G., Gheorghe, M.

    “…Self-assembly is a powerful autopoietic mechanism ubiquitous throughout the natural world. It may be found at the molecular scale and also at astronomical…”
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    Conference Proceeding
  12. 12

    Adaptive cellular memetic algorithms by Huy, Nguyen Quang, Soon, Ong Yew, Hiot, Lim Meng, Krasnogor, Natalio

    Published in Evolutionary computation (01-06-2009)
    “…A cellular genetic algorithm (CGA) is a decentralized form of GA where individuals in a population are usually arranged in a 2D grid and interactions among…”
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    Journal Article
  13. 13

    Quorum sensing P systems by Bernardini, Francesco, Gheorghe, Marian, Krasnogor, Natalio

    Published in Theoretical computer science (22-02-2007)
    “…This paper continues the investigation of population P systems model [F. Bernardini, M. Gheorghe, Population P systems, Journal of Universal Computer Science…”
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    Journal Article
  14. 14

    Automated Self-Assembly Programming Paradigm: Initial Investigations by Li, L., Krasnogor, N., Garibaldi, J.

    “…This paper presents a model that simulates a self-assembly process for software components. Initial investigations on the automated self-assembly programming…”
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    Conference Proceeding
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    A study on the design issues of Memetic Algorithm by Nguyen, Q.H., Ong, Y.S., Krasnogor, N.

    “…Over the recent years, there has been increasing research activities made on improving the efficacy of memetic algorithm (MA) for solving complex optimization…”
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    Conference Proceeding
  18. 18

    Is increased diversity in genetic programming beneficial? An analysis of lineage selection by Burke, E.K., Gustafson, S., Kendall, G., Krasnogor, N.

    “…This paper presents an analysis of increased diversity in genetic programming. A selection strategy based on genetic lineages is used to increase genetic…”
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    Conference Proceeding
  19. 19

    On P systems with bounded parallelism by Bernardini, F., Romero-Campero, F.J., Gheorghe, M., Perez-Jimenez, M.J., Margenstern, M., Verlan, S., Krasnogor, N.

    “…A framework that describes the evolution of P systems with bounded parallelism is defined by introducing basic formal features that can be then integrated into…”
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    Conference Proceeding
  20. 20

    A fuzzy sets based generalization of contact maps for the overlap of protein structures by Pelta, David, Krasnogor, Natalio, Bousono-Calzon, Carlos, Verdegay, José L., Hirst, J., Burke, Edmund

    Published in Fuzzy sets and systems (16-05-2005)
    “…The comparison of protein structures is an important problem in bioinformatics. As a protein biological role is derived from its three-dimensional native…”
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    Journal Article