Christine Zarges

Orcid: 0000-0002-2829-4296

Affiliations:
  • Aberystwyth University, UK
  • University of Birmingham, UK


According to our database1, Christine Zarges authored at least 59 papers between 2006 and 2024.

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Bibliography

2024
A visualization tool to explore alphabet orderings for the Burrows-Wheeler Transform.
CoRR, 2024

Heuristics for the Run-length Encoded Burrows-Wheeler Transform Alphabet Ordering Problem.
CoRR, 2024

Experimental and Theoretical Analysis of Local Search Optimising OBDD Variable Orderings.
Proceedings of the Evolutionary Computation in Combinatorial Optimization, 2024

2021
A Detailed Study of the Distributed Rough Set Based Locality Sensitive Hashing Feature Selection Technique.
Fundam. Informaticae, 2021

2020
Theoretical Foundations of Immune-Inspired Randomized Search Heuristics for Optimization.
Proceedings of the Theory of Evolutionary Computation, 2020

A scalable and effective rough set theory-based approach for big data pre-processing.
Knowl. Inf. Syst., 2020

Evaluation of a Permutation-Based Evolutionary Framework for Lyndon Factorizations.
Proceedings of the Parallel Problem Solving from Nature - PPSN XVI, 2020

2019
On the benefits and risks of using fitness sharing for multimodal optimisation.
Theor. Comput. Sci., 2019

Unlimited Budget Analysis of Randomised Search Heuristics.
CoRR, 2019

Evolutionary search techniques for the Lyndon factorization of biosequences.
Proceedings of the Genetic and Evolutionary Computation Conference Companion, 2019

Unlimited budget analysis.
Proceedings of the Genetic and Evolutionary Computation Conference Companion, 2019

2018
Hod Lipson and Melba Kurman: Driverless: intelligent cars and the road ahead - The MIT Press, 2016, pp 312, ISBN: 9780262035224.
Genet. Program. Evolvable Mach., 2018


Theoretical Analysis of Lexicase Selection in Multi-objective Optimization.
Proceedings of the Parallel Problem Solving from Nature - PPSN XV, 2018

Rough Set Theory as a Data Mining Technique: A Case Study in Epidemiology and Cancer Incidence Prediction.
Proceedings of the Machine Learning and Knowledge Discovery in Databases, 2018

A black-box discrete optimization benchmarking (BB-DOB) pipeline survey: taxonomy, evaluation, and ranking.
Proceedings of the Genetic and Evolutionary Computation Conference Companion, 2018

Nouveau Modèle de Sélection de Caractéristiques basé sur la Théorie des Ensembles Approximatifs pour les Données Massives.
Proceedings of the Extraction et Gestion des Connaissances, 2018

A Distributed Rough Set Theory Algorithm based on Locality Sensitive Hashing for an Efficient Big Data Pre-processing.
Proceedings of the IEEE International Conference on Big Data (IEEE BigData 2018), 2018

2017
On Easiest Functions for Mutation Operators in Bio-Inspired Optimisation.
Algorithmica, 2017

Stability selection using a genetic algorithm and logistic linear regression on healthcare records.
Proceedings of the Genetic and Evolutionary Computation Conference, 2017

Theoretical results on bet-and-run as an initialisation strategy.
Proceedings of the Genetic and Evolutionary Computation Conference, 2017

A distributed rough set theory based algorithm for an efficient big data pre-processing under the spark framework.
Proceedings of the 2017 IEEE International Conference on Big Data (IEEE BigData 2017), 2017

2016
The Workshops at PPSN 2016.
Proceedings of the Parallel Problem Solving from Nature - PPSN XIV, 2016

Example Landscapes to Support Analysis of Multimodal Optimisation.
Proceedings of the Parallel Problem Solving from Nature - PPSN XIV, 2016

Women@GECCO 2016 Chairs' Welcome.
Proceedings of the Genetic and Evolutionary Computation Conference, 2016

2015
Analysis of diversity mechanisms for optimisation in dynamic environments with low frequencies of change.
Theor. Comput. Sci., 2015

Analysis of Randomised Search Heuristics for Dynamic Optimisation.
Evol. Comput., 2015

On Easiest Functions for Somatic Contiguous Hypermutations And Standard Bit Mutations.
Proceedings of the Genetic and Evolutionary Computation Conference, 2015

Improving the Performance of the Germinal Center Artificial Immune System Using \epsilon -Dominance: A Multi-objective Knapsack Problem Case Study.
Proceedings of the Evolutionary Computation in Combinatorial Optimization, 2015

2014
Reevaluating Immune-Inspired Hypermutations Using the Fixed Budget Perspective.
IEEE Trans. Evol. Comput., 2014

Performance analysis of randomised search heuristics operating with a fixed budget.
Theor. Comput. Sci., 2014

On the Runtime Analysis of Fitness Sharing Mechanisms.
Proceedings of the Parallel Problem Solving from Nature - PPSN XIII, 2014

An Immune-Inspired Algorithm for the Set Cover Problem.
Proceedings of the Parallel Problem Solving from Nature - PPSN XIII, 2014

Evolutionary algorithms and artificial immune systems on a bi-stable dynamic optimisation problem.
Proceedings of the Genetic and Evolutionary Computation Conference, 2014

2013
Mutation Rate Matters Even When Optimizing Monotonic Functions.
Evol. Comput., 2013

A method to derive fixed budget results from expected optimisation times.
Proceedings of the Genetic and Evolutionary Computation Conference, 2013

Approximating vertex cover using edge-based representations.
Proceedings of the Foundations of Genetic Algorithms XII, 2013

2012
Computing Longest Common Subsequences with the B-Cell Algorithm.
Proceedings of the Artificial Immune Systems - 11th International Conference, 2012

Artificial immune systems for optimisation.
Proceedings of the Genetic and Evolutionary Computation Conference, 2012

Fixed budget computations: a different perspective on run time analysis.
Proceedings of the Genetic and Evolutionary Computation Conference, 2012

2011
On benefits and drawbacks of aging strategies for randomized search heuristics.
Theor. Comput. Sci., 2011

Analyzing different variants of immune inspired somatic contiguous hypermutations.
Theor. Comput. Sci., 2011

On the role of age diversity for effective aging operators.
Evol. Intell., 2011

Variation in Artificial Immune Systems: Hypermutations with Mutation Potential.
Proceedings of the Artificial Immune Systems - 10th International Conference, 2011

On the Analysis of the Immune-Inspired B-Cell Algorithm for the Vertex Cover Problem.
Proceedings of the Artificial Immune Systems - 10th International Conference, 2011

Theorie künstlicher Immunsysteme.
Proceedings of the Ausgezeichnete Informatikdissertationen 2011, 2011

Analysis of evolutionary algorithms: from computational complexity analysis to algorithm engineering.
Proceedings of the Foundations of Genetic Algorithms, 11th International Workshop, 2011

Theoretical Foundations of Artificial Immune Systems.
PhD thesis, 2011

2010
Optimizing Monotone Functions Can Be Difficult.
Proceedings of the Parallel Problem Solving from Nature, 2010

Analysis of an Iterated Local Search Algorithm for Vertex Coloring.
Proceedings of the Algorithms and Computation - 21st International Symposium, 2010

On the Benefits of Aging and the Importance of Details.
Proceedings of the Artificial Immune Systems, 9th International Conference, 2010

Aging beyond restarts.
Proceedings of the Genetic and Evolutionary Computation Conference, 2010

2009
Ingo Wegener.
Evol. Comput., 2009

Comparing Different Aging Operators.
Proceedings of the Artificial Immune Systems, 8th International Conference, 2009

A Theoretical Analysis of Immune Inspired Somatic Contiguous Hypermutations for Function Optimization.
Proceedings of the Artificial Immune Systems, 8th International Conference, 2009

Maximal age in randomized search heuristics with aging.
Proceedings of the Genetic and Evolutionary Computation Conference, 2009

On the utility of the population size for inversely fitness proportional mutation rates.
Proceedings of the Foundations of Genetic Algorithms, 2009

2008
Rigorous Runtime Analysis of Inversely Fitness Proportional Mutation Rates.
Proceedings of the Parallel Problem Solving from Nature, 2008

2006
Cooperative Visual Tracking in a Team of Autonomous Mobile Robots.
Proceedings of the RoboCup 2006: Robot Soccer World Cup X, 2006


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