Natalio Krasnogor

Marian Gheorghe, Natalio Krasnogor, Harold Fellermann, 2014, 2014 IEEE Intl Conf on High Performance Computing and Communications, 2014 IEEE 6th Intl Symp on Cyberspace Safety and Security, 2014 IEEE 11th Intl Conf on Embedded Software and Syst (HPCC,CSS,ICESS).

An Evolutionary Methodology for the Automated Design of Cellular Automaton-based Complex Systems

Graham Kendall, Germán Terrazas, Natalio Krasnogor, 2007, J. Cell. Autom..

Memetic Algorithms

Natalio Krasnogor, N. Krasnogor, 2012, Handbook of Natural Computing.

Evolving cell models for systems and synthetic biology

Natalio Krasnogor, Hongqing Cao, Miguel Cámara, 2010, Systems and Synthetic Biology.

Coordination number prediction using learning classifier systems: performance and interpretability

Jacek Blazewicz, Jaume Bacardit, Natalio Krasnogor, 2006, GECCO '06.

Erratum: Diolboronic acid complexes integrated by responsive polymersA route to chemical sensing and logic operations (Soft Matter (2009) 5 (3839-3841) DOI: 10.1039/b911341j)

Natalio Krasnogor, Cameron Alexander, George Pasparakis, 2009 .

Proceedings of the 2009 workshop on Bio-inspired algorithms for distributed systems, BADS@ICAC 2009, Barcelona, Spain, June 19, 2009

Franco Zambonelli, Natalio Krasnogor, Carlo Mastroianni, 2009, BADS@ICAC.

Toward truly "memetic" memetic algorithms: discussion and proof of concepts

Natalio Krasnogor, Steven M. Gustafson, Steven Gustafson, 2002 .

Multiple-Test Analysis of Sequences of SNPs for Determining Susceptibility to Pre-eclampsia

Jonathan M. Garibaldi, Natalio Krasnogor, Linda Fiaschi, 2009, Computational Intelligence and Bioengineering.

Recent Advances in Memetic Algorithms

William E. Hart, Natalio Krasnogor, Jim Smith, 2008 .

A tale of human-competitiveness in bioinformatics

Jaume Bacardit, Natalio Krasnogor, Michael Stout, 2008, SEVO.

On improving genetic programming for symbolic regression

Edmund K. Burke, Natalio Krasnogor, Steven M. Gustafson, 2005, 2005 IEEE Congress on Evolutionary Computation.

Matching island topologies to problem structure in parallel evolutionary algorithms

David Millán-Ruiz, José Ignacio Hidalgo, Natalio Krasnogor, 2013, Soft Computing.

GP challenge: evolving energy function for protein structure prediction

Jonathan M. Garibaldi, Natalio Krasnogor, Pawel Widera, 2010, Genetic Programming and Evolvable Machines.

On P Systems as a Modelling Tool for Biological Systems

Marian Gheorghe, Natalio Krasnogor, Mario J. Pérez-Jiménez, 2005, Workshop on Membrane Computing.

A computational study of liposome logic: towards cellular computing from the bottom up

Marian Gheorghe, Natalio Krasnogor, James Smaldon, 2010, Systems and Synthetic Biology.

Towards Robust Memetic Algorithms

Natalio Krasnogor, N. Krasnogor, 2005 .

On the Scalability of Multi-Criteria Protein Structure Comparison in the Grid

Natalio Krasnogor, Azhar Ali Shah, Gianluigi Folino, 2010, Euro-Par Workshops.

Fuzzy Memes in Multimeme Algorithms: a Fuzzy-Evolutionary Hybrid

Natalio Krasnogor, David A. Pelta, N. Krasnogor, 2003 .

Real-Coded Memetic Algorithms with Crossover Hill-Climbing

Francisco Herrera, Daniel Molina, Natalio Krasnogor, 2004, Evolutionary Computation.

Modelling string folding with G2L grammars (poster)

Natalio Krasnogor, Pablo E. Martínez López, David A. Pelta, 1997, ICFP '97.

Benchmark Functions for the CEC'2018 Competition on Dynamic Multiobjective Optimization

Xin Yao, Kay Chen Tan, Shengxiang Yang, 2018 .

Simbiotics: A Multiscale Integrative Platform for 3D Modeling of Bacterial Populations.

Joy Mukherjee, Natalio Krasnogor, Yuchun Ding, 2017, ACS synthetic biology.

vrmlgen: An R Package for 3D Data Visualization on the Web

Jonathan M. Garibaldi, Natalio Krasnogor, Enrico Glaab, 2010 .

Memetic Algorithms: The Polynomial Local Search Complexity Theory Perspective

Jim Smith, Natalio Krasnogor, N. Krasnogor, 2008, J. Math. Model. Algorithms.

ArrayMining.net: a web-server for integrative microarray and gene set analysis

Jonathan M. Garibaldi, Natalio Krasnogor, Enrico Glaab, 2011 .

Liposome logic

Marian Gheorghe, Natalio Krasnogor, James Smaldon, 2009, GECCO '09.

An Intelligent Multi-Restart Memetic Algorithm for Box Constrained Global Optimisation

Qingfu Zhang, Jonathan M. Garibaldi, Jianyong Sun, 2013, Evolutionary Computation.

The fittest, the common, and the dullest: Selection dynamics of exact autocatalytic replicators

Natalio Krasnogor, Harold Fellermann, Ben Shirt-Ediss, 2018 .

Extending pathways and processes using molecular interaction networks to analyse cancer genome data

Alfonso Valencia, Natalio Krasnogor, Anaïs Baudot, 2010, BMC Bioinformatics.

Editorial

Natalio Krasnogor, David A. Pelta, 2005, Fuzzy Sets Syst..

Protein Models Comparator: Scalable Bioinformatics Computing on the Google App Engine Platform

Natalio Krasnogor, Pawel Widera, N. Krasnogor, 2011, 1102.4293.

Linking Engineered Cells to Their Digital Twins: a Version Control System for Strain Engineering

Natalio Krasnogor, Victor de Lorenzo, Jonathan Tellechea Luzardo, 2019, bioRxiv.

Editorial to the first issue

Natalio Krasnogor, Yew-Soon Ong, Meng-Hiot Lim, 2009, Memetic Comput..

Synthetic biology: modelling and optimisation

Natalio Krasnogor, 2009, GECCO '09.

On the storage, management and analysis of (multi) similarity for large scale protein structure datasets in the grid

Natalio Krasnogor, Azhar Ali Shah, Gianluigi Folino, 2009, 2009 22nd IEEE International Symposium on Computer-Based Medical Systems.

Automatic Tuning of Rule-Based Evolutionary Machine Learning via Problem Structure Identification

Jaume Bacardit, Natalio Krasnogor, Maria A. Franco, 2020, IEEE Computational Intelligence Magazine.

A fuzzy sets based generalization of contact maps for the overlap of protein structures

Edmund K. Burke, José L. Verdegay, Natalio Krasnogor, 2005, Fuzzy Sets Syst..

A Memetic Algorithm With Self-Adaptive Local Search: TSP as a case study

Jim Smith, Natalio Krasnogor, N. Krasnogor, 2000, GECCO.

Using Rule-Based Machine Learning for Candidate Disease Gene Prioritization and Sample Classification of Cancer Gene Expression Data

Jonathan M. Garibaldi, Jaume Bacardit, Natalio Krasnogor, 2012, PloS one.

Learning classifier systems for optimisation problems: a case study on fractal travelling salesman problem

Jaume Bacardit, Natalio Krasnogor, Irene Loiseau, 2008, GECCO '08.

Evolutionary symbolic discovery for bioinformatics, systems and synthetic biology

Jaume Bacardit, Natalio Krasnogor, Carlos García-Martínez, 2010, GECCO '10.

Proceedings of the 13th annual conference on Genetic and evolutionary computation

Pier Luca Lanzi, Natalio Krasnogor, 2011, GECCO 2011.

Editorial

Natalio Krasnogor, Yew-Soon Ong, Meng-Hiot Lim, 2013, Memetic Comput..

A tutorial for competent memetic algorithms: model, taxonomy, and design issues

James Smith, Natalio Krasnogor, N. Krasnogor, 2005, IEEE Transactions on Evolutionary Computation.

A Study on the use of ``self-generation'' in memetic algorithms

Natalio Krasnogor, Steven M. Gustafson, N. Krasnogor, 2004, Natural Computing.

Chapter 13 Automated Self-Assembling Programming

Germán Terrazas, Natalio Krasnogor, Lin Li, 2008 .

Automatic selection of verification tools for efficient analysis of biochemical models

Marian Gheorghe, Natalio Krasnogor, Mike Stannett, 2018, Bioinform..

Modular Assembly of Cell Systems Biology Models Using P Systems

Marian Gheorghe, Natalio Krasnogor, Malcolm Bennett, 2009, Int. J. Found. Comput. Sci..

Grammatical rules for the automated construction of heuristics

Germán Terrazas, Natalio Krasnogor, 2010, IEEE Congress on Evolutionary Computation.

Prediction of recursive convex hull class assignments for protein residues

Jaume Bacardit, Natalio Krasnogor, Jonathan D. Hirst, 2008, Bioinform..

A functional programming approach to a computational biology problem

Natalio Krasnogor, Pablo E. Martínez López, David A. Pelta, 1997 .

An Empirical Study of Dynamic Triobjective Optimisation Problems

Shengxiang Yang, Marcus Kaiser, Natalio Krasnogor, 2018, 2018 IEEE Congress on Evolutionary Computation (CEC).

Selecting protein fuzzy contact maps through information and structure measures

Natalio Krasnogor, Carlos Bousoño-Calzón, Alicia Oropesa-García, 2005, EUSFLAT Conf..

A learning classifier system with mutual-information-based fitness

Jaume Bacardit, Natalio Krasnogor, Jonathan D. Hirst, 2007, 2007 IEEE Congress on Evolutionary Computation.

Hard Data Analytics Problems Make for Better Data Analysis Algorithms: Bioinformatics as an Example

Jaume Bacardit, Natalio Krasnogor, Paweł Widera, 2014, Big Data.

Incorporating Knowledge of Secondary Structures in a L-System-Based Encoding for Protein Folding

Gabriela Ochoa, Natalio Krasnogor, Gabi Escuela, 2005, Artificial Evolution.

Editorial

Natalio Krasnogor, Yew-Soon Ong, Meng-Hiot Lim, 2013, Memetic Comput..

An Approach to the Engineering of Cellular Models Based on P Systems

Natalio Krasnogor, Francisco José Romero-Campero, F. Romero-Campero, 2009, CiE.

Nature Inspired Cooperative Strategies for Optimization, NICSO 2011, Cluj-Napoca, Romania, October 20-22, 2011

Rodica Ioana Lung, Camelia Chira, Natalio Krasnogor, 2012, NISCO.

A mixed discrete-continuous attribute list representation for large scale classification domains

Jaume Bacardit, Natalio Krasnogor, 2009, GECCO '09.

Less detectable environmental changes in dynamic multiobjective optimisation

Shengxiang Yang, Marcus Kaiser, Natalio Krasnogor, 2018, GECCO.

An Appealing Computational Mechanism Drawn from Bacterial Quorum Sensing

Marian Gheorghe, Germán Terrazas, Natalio Krasnogor, 2005, Bull. EATCS.

Modelling String Folding with G2L Grammars.

Natalio Krasnogor, Pablo E. Martínez López, David A. Pelta, 1997, ICFP 1997.

Automated self‐assembly programming paradigm: The impact of network topology

Jonathan M. Garibaldi, Natalio Krasnogor, Lin Li, 2009, Int. J. Intell. Syst..

Automated Alphabet Reduction for Protein Datasets

Alfonso Valencia, Jaume Bacardit, Natalio Krasnogor, 2009, BMC Bioinformatics.

On Self-assembly in Population P Systems

Marian Gheorghe, Natalio Krasnogor, Jean-Louis Giavitto, 2005, UC.

DomAns - pattern based method for protein domain boundaries prediction and analysis

Jacek Blazewicz, Natalio Krasnogor, Maciej Milostan, 2011 .

Studies on the theory and design space of memetic algorithms

Natalio Krasnogor, N. Krasnogor, 2002 .

Jacek Blazewicz, Natalio Krasnogor, Maciej Milostan, 2009 .

Complexity Measurement Based on Information Theory and

Hector Zenil, Germán Terrazas, Natalio Krasnogor, 2015 .

An unorthodox introduction to Memetic Algorithms

Natalio Krasnogor, N. Krasnogor, 2008, SEVO.

(Computational) synthetic biology

Natalio Krasnogor, 2011, GECCO '11.

HARD DATA ANALYTICS PROBLEMS MAKE FOR BETTER DATA ANALYSIS ALGORITHMS: as an Example

Jaume Bacardit, Natalio Krasnogor, Nicola Lazzarini, 2014 .

ArrayMining: a modular web-application for microarray analysis combining ensemble and consensus methods with cross-study normalization

Jonathan M. Garibaldi, Natalio Krasnogor, Enrico Glaab, 2009, BMC Bioinformatics.

BioHEL: Bioinformatics-oriented Hierarchical Evolutionary Learning

Jaume Bacardit, Natalio Krasnogor, J. Bacardit, 2006 .

Algorithms and models for complex natural systems

Carlos A. Coello Coello, Mario Pavone, Natalio Krasnogor, 2015, Natural Computing.

Multimeme Algorithms Using Fuzzy Logic Based Memes For Protein Structure Prediction

Natalio Krasnogor, David A. Pelta, N. Krasnogor, 2005 .

NIHBA: A Network Interdiction Approach with Hybrid Benders Algorithm for Strain Design

Yong Wang, Natalio Krasnogor, Shouyong Jiang, 2019, bioRxiv.

Optimizing nucleic acid sequences for a molecular data recorder

Natalio Krasnogor, Harold Fellermann, Ben Shirt-Ediss, 2017, GECCO.

Grid and Distributed Public Computing Schemes for Structural Proteomics: A Short Overview

Natalio Krasnogor, Azhar Ali Shah, Daniel Barthel, 2007, ISPA Workshops.

The Infobiotics Workbench: an integrated in silico modelling platform for Systems and Synthetic Biology

Natalio Krasnogor, Francisco José Romero-Campero, Jamie Twycross, 2011, Bioinform..

Synthetic biology gains momentum in Europe

Natalio Krasnogor, David Gilbert, Alfonso Jaramillo, 2010, Systems and Synthetic Biology.

Easybiotics: a GUI for 3D physical modelling of multi-species bacterial populations

Natalio Krasnogor, Harold Fellermann, Jonathan Naylor, 2019, Bioinform..

Evolving L-Systems to Capture Protein Structure Native Conformations

Gabriela Ochoa, Natalio Krasnogor, Gabi Escuela, 2005, EuroGP.

Prediction of topological contacts in proteins using learning classifier systems

Jaume Bacardit, Natalio Krasnogor, Jonathan D. Hirst, 2008, Soft Comput..

On P systems with bounded parallelism

Maurice Margenstern, Natalio Krasnogor, Mario J. Pérez-Jiménez, 2005, Seventh International Symposium on Symbolic and Numeric Algorithms for Scientific Computing (SYNASC'05).

Editorial

Natalio Krasnogor, Yew-Soon Ong, Meng-Hiot Lim, 2014, Memetic Comput..

Formalizing Modularization and Data Hiding in Synthetic Biology

Natalio Krasnogor, Harold Fellermann, Rudolf M. Füchslin, 2014, ACM J. Emerg. Technol. Comput. Syst..

Modelling the initialisation stage of the ALKR representation for discrete domains and GABIL encoding

Jaume Bacardit, Natalio Krasnogor, María A. Franco, 2011, GECCO '11.

For the sake of the Bioeconomy: define what a Synthetic Biology Chassis is!

Natalio Krasnogor, Víctor de Lorenzo, Markus Schmidt, 2020, New biotechnology.

Editorial

Natalio Krasnogor, Yew-Soon Ong, Meng-Hiot Lim, 2012, Memetic Comput..

Performance Evaluation of Protein Structure Comparison Algorithms Under Integrated Resource Management Environment for MPI Jobs

Natalio Krasnogor, Azhar Ali Shah, Gianluigi Folino, 2008, 2008 IEEE International Symposium on Parallel and Distributed Processing with Applications.

Evolutionary design of the energy function for protein structure prediction

Jonathan M. Garibaldi, Natalio Krasnogor, Pawel Widera, 2009, 2009 IEEE Congress on Evolutionary Computation.

Darwin's magic: Evolutionary computation in nanoscience, bioinformatics and systems biology

Natalio Krasnogor, 2011, IEEE Congress on Evolutionary Computation.

Empirical Evaluation of Ensemble Techniques for a Pittsburgh Learning Classifier System

Jaume Bacardit, Natalio Krasnogor, 2007, IWLCS.

Search strategies in structural bioinformatics.

Natalio Krasnogor, Mark T. Oakley, Daniel Barthel, 2008, Current protein & peptide science.

Genotype-Fitness Correlation Analysis for Evolutionary Design of Self-assembly Wang Tiles

Germán Terrazas, Natalio Krasnogor, 2011, NICSO.

Memetic Evolutionary Algorithms

William E. Hart, Natalio Krasnogor, Jim Smith, 2005 .

3D-Judge : a metaserver approach to protein structure prediction

Natalio Krasnogor, Wojciech Jaśkowski, Maciej Milostan, 2007 .

Protein structure prediction with evolutionary algorithms

William E. Hart, Natalio Krasnogor, David A. Pelta, 1999 .

Linking Engineered Cells to Their Digital Twins: a Version Control System for Strain Engineering.

Natalio Krasnogor, Victor de Lorenzo, Paweł Widera, 2020, ACS synthetic biology.

Easybiotics: a GUI for 3D physical modelling of multi-species bacterial populations

Natalio Krasnogor, Harold Fellermann, Jonathan Naylor, 2018 .

Towards the Design of Heuristics by Means of Self-Assembly

Germán Terrazas, Natalio Krasnogor, Dario Landa Silva, 2010, DCM.

Special issue on Nature Inspired Cooperative Strategies for Optimisation (NICSO)

Giuseppe Nicosia, Mario Pavone, Natalio Krasnogor, 2009, Natural Computing.

JEPETTO: a Cytoscape plugin for gene set enrichment and topological analysis based on interaction networks

Natalio Krasnogor, Pawel Widera, Charles Winterhalter, 2013, Bioinform..

Evolving tiles for automated self-assembly design

Graham Kendall, Marian Gheorghe, Germán Terrazas, 2007, 2007 IEEE Congress on Evolutionary Computation.

Immune Algorithm Versus Differential Evolution: A Comparative Case Study Using High Dimensional Function Optimization

Vincenzo Cutello, Giuseppe Nicosia, Mario Pavone, 2007, ICANNGA.

Complexity Measurement Based on Information Theory and Kolmogorov Complexity

Hector Zenil, Germán Terrazas, Natalio Krasnogor, 2015, Artificial Life.

In Vitro Implementation of a Stack Data Structure Based on DNA Strand Displacement

Natalio Krasnogor, Harold Fellermann, Jerzy Kozyra, 2016, UCNC.

13th Annual Genetic and Evolutionary Computation Conference, GECCO 2011, Companion Material Proceedings, Dublin, Ireland, July 12-16, 2011

Paulo Cortez, Pier Luca Lanzi, Natalio Krasnogor, 2011, GECCO.

A framework for the application of decision trees to the analysis of SNPs data

Jonathan M. Garibaldi, Natalio Krasnogor, Linda Fiaschi, 2009, 2009 IEEE Symposium on Computational Intelligence in Bioinformatics and Computational Biology.

CHAC, A MOACO algorithm for computation of bi-criteria military unit path in the battlefield: Presentation and first results

Jonathan M. Garibaldi, Lin Li, Natalio Krasnogor, 2009 .

Analysing BioHEL using challenging boolean functions

Jaume Bacardit, Natalio Krasnogor, María A. Franco, 2012, Evol. Intell..

Multimeme Algorithms for Protein Structure Prediction

Edmund K. Burke, Natalio Krasnogor, Jonathan D. Hirst, 2002, PPSN.

Measuring the similarity of protein structures by means of the universal similarity metric

Natalio Krasnogor, David A. Pelta, N. Krasnogor, 2004, Bioinform..

MAFRA: A java memetic algorithms framework

Natalio Krasnogor, Jim Smith, N. Krasnogor, 2000 .

Modeling and Analysis of Genetic Boolean Gates using Infobiotics Workbench

Marian Gheorghe, Natalio Krasnogor, Harold Fellermann, 2014 .

Functional networks inference from rule-based machine learning models

Jaume Bacardit, Natalio Krasnogor, Pawel Widera, 2016, BioData Mining.

Nature-inspired cooperative strategies for optimization

Natalio Krasnogor, David A. Pelta, N. Krasnogor, 2009 .

Nature Inspired Cooperative Strategies for Optimization, NICSO 2010, May 12-14, 2010, Granada, Spain

Germán Terrazas, Natalio Krasnogor, David Alejandro Pelta, 2012, NISCO.

Photochromic molecular implementations of universal computation

Jack C. Chaplin, Noah A. Russell, Natalio Krasnogor, 2014, Biosyst..

Analysing bioHEL using challenging boolean functions

Jaume Bacardit, Natalio Krasnogor, María A. Franco, 2010, GECCO '10.

Self Generating Metaheuristics in Bioinformatics: The Proteins Structure Comparison Case

Natalio Krasnogor, N. Krasnogor, 2004, Genetic Programming and Evolvable Machines.

Fast rule representation for continuous attributes in genetics-based machine learning

Jaume Bacardit, Natalio Krasnogor, 2008, GECCO '08.

A comparison of computational methods for the maximum contact map overlap of protein pairs.

Robert D. Carr, William E. Hart, Giuseppe Lancia, 2003 .

Heuristic for maximizing DNA reuse in synthetic DNA library assembly.

Uriel Feige, Jaume Bacardit, Natalio Krasnogor, 2014, ACS synthetic biology.

Is There an Optimal Level of Open-Endedness in Prebiotic Evolution?

Doron Lancet, Omer Markovitch, Natalio Krasnogor, 2012, Origins of Life and Evolution of Biospheres.

Modelling and Analysis of Genetic Boolean Gates Using the I NFOBIOTICS W ORKBENCH

Marian Gheorghe, Florentin Ipate, Natalio Krasnogor, 2014 .

Controlled polymer synthesis--from biomimicry towards synthetic biology.

Leroy Cronin, Natalio Krasnogor, Benjamin G Davis, 2010, Chemical Society reviews.

An Approach to BioModel Engineering Based On P Systems

Natalio Krasnogor, Francisco J. Romero-Campero, F. Romero-Campero, 2009 .

. for the Protein Folding Problem : Comparing Encodings and Search Modes

Natalio Krasnogor, David Pelta, Armando Blanco, 2002 .

Improving Computational Efficiency in Stochastic Simulation Algorithms for Systems and Synthetic Biology

Natalio Krasnogor, Jamie Twycross, Jonathan Blakes, 2011 .

Towards High-Throughput, Multi-Criteria Protein Structure Comparison and Analysis

Natalio Krasnogor, Azhar Ali Shah, Gianluigi Folino, 2009 .

Towards a Distributed Framework for Protein ( Structure ) Comparison , Knowledge , Similarity and Information ( ProCKSI )

Natalio Krasnogor, Daniel Barthel, N. Krasnogor, 2008 .

A thermodynamic switch modulates abscisic acid receptor sensitivity

Natalio Krasnogor, Jamie Twycross, Martin Blackledge, 2011, The EMBO journal.

PREDICTION OF RESIDUE EXPOSURE AND CONTACT NUMBER FOR SIMPLIFIED HP LATTICE MODEL PROTEINS USING LEARNING CLASSIFIER SYSTEMS

Jacek Blazewicz, Jaume Bacardit, Natalio Krasnogor, 2006 .

Diol–boronic acid complexes integrated by responsive polymers—a route to chemical sensing and logic operations

Natalio Krasnogor, Maria Vamvakaki, Cameron Alexander, 2009 .

The imitation game—a computational chemical approach to recognizing life

Natalio Krasnogor, Peter Siepmann, B. J. Whitaker, 2006, Nature Biotechnology.

A genetic algorithm approach to probing the evolution of self-organized nanostructured systems.

Natalio Krasnogor, Christopher P. Martin, Peter Siepmann, 2007, Nano letters.

Turing Machines with Cells on the Tape

Marian Gheorghe, Gheorghe Paun, Natalio Krasnogor, 2006, Nanotechnology: Science and Computation.

The Local Searcher as a Supplier of Building Blocks in Self-generating Memetic Algorithms

Natalio Krasnogor, Steven Gustafson, 2003 .

ProCKSi : A Meta-Server for Protein Comparison using Kolmogorov and other Similarity Measures

Natalio Krasnogor, Jonathan D. Hirst, Daniel Barthel, 2006 .

Automated probe microscopy via evolutionary optimization at the atomic scale

Natalio Krasnogor, Philip Moriarty, Julian Stirling, 2011 .