Christine Zarges

发表

Proceedings of the 2015 ACM Conference on Foundations of Genetic Algorithms XIII

Thomas Jansen, Christine Zarges, Jun He, 2015, FOGA.

Approximating vertex cover using edge-based representations

Thomas Jansen, Pietro Simone Oliveto, Christine Zarges, 2013, FOGA XII '13.

Stability selection using a genetic algorithm and logistic linear regression on healthcare records

Christine Zarges, Ales Zamuda, Gregor Stiglic, 2017, GECCO.

Workshops at PPSN 2018

Pietro Simone Oliveto, Christine Zarges, Ales Zamuda, 2018, PPSN.

On the Effects of Incorporating Memory in GC-AIS for the Set Cover Problem

Christine Zarges, Jonathan E. Rowe, Ayush Joshi, 2015 .

Mutation Rate Matters Even When Optimizing Monotonic Functions

Thomas Jansen, Dirk Sudholt, Christine Zarges, 2013, Evolutionary Computation.

Women@GECCO 2016 Chairs' Welcome

Christine Zarges, Gabriela Ochoa, A. Nur Zincir-Heywood, 2016, GECCO.

A distributed rough set theory based algorithm for an efficient big data pre-processing under the spark framework

Christine Zarges, Mustapha Lebbah, Zaineb Chelly Dagdia, 2017, 2017 IEEE International Conference on Big Data (Big Data).

Performance analysis of randomised search heuristics operating with a fixed budget

Thomas Jansen, Christine Zarges, T. Jansen, 2014, Theor. Comput. Sci..

Aging beyond restarts

Thomas Jansen, Christine Zarges, T. Jansen, 2010, GECCO '10.

Artificial Immune Systems can Beat Evolutionary Algorithms in Combinatorial Optimisation

Thomas Jansen, Christine Zarges, Benjamin Doerr, 2016, GECCO '16.

On the role of age diversity for effective aging operators

Thomas Jansen, Christine Zarges, T. Jansen, 2011, Evol. Intell..

A scalable and effective rough set theory-based approach for big data pre-processing

Christine Zarges, Mustapha Lebbah, Gaël Beck, 2020, Knowledge and Information Systems.

Theoretical Foundations of Artificial Immune Systems

Christine Zarges, C. Zarges, 2011 .

Comparing Different Aging Operators

Thomas Jansen, Christine Zarges, T. Jansen, 2009, ICARIS.

Theoretical Analysis of Lexicase Selection in Multi-objective Optimization

Thomas Jansen, Christine Zarges, T. Jansen, 2018, PPSN.

Theorie künstlicher Immunsysteme

Christine Zarges, 2011, Ausgezeichnete Informatikdissertationen.

On benefits and drawbacks of aging strategies for randomized search heuristics

Thomas Jansen, Christine Zarges, T. Jansen, 2011, Theor. Comput. Sci..

Artificial immune systems for optimisation

Thomas Jansen, Christine Zarges, T. Jansen, 2014, Annual Conference on Genetic and Evolutionary Computation.

Hod Lipson and Melba Kurman: Driverless: intelligent cars and the road ahead

Christine Zarges, 2017, Genetic Programming and Evolvable Machines.

On Easiest Functions for Somatic Contiguous Hypermutations And Standard Bit Mutations

Thomas Jansen, Pietro Simone Oliveto, Dirk Sudholt, 2015, GECCO.

Optimizing Monotone Functions Can Be Difficult pdf

Thomas Jansen, Dirk Sudholt, Christine Zarges, 2010, PPSN.

A Theoretical Analysis of Immune Inspired Somatic Contiguous Hypermutations for Function Optimization

Thomas Jansen, Christine Zarges, T. Jansen, 2009, ICARIS.

Computing Longest Common Subsequences with the B-Cell Algorithm

Thomas Jansen, Christine Zarges, T. Jansen, 2012, ICARIS.

Analysis of an Iterated Local Search Algorithm for Vertex Coloring

Dirk Sudholt, Christine Zarges, Dirk Sudholt, 2010, ISAAC.

Nouveau Modèle de Sélection de Caractéristiques basé sur la Théorie des Ensembles Approximatifs pour les Données Massives

Christine Zarges, Mustapha Lebbah, Zaineb Chelly Dagdia, 2018, EGC.

Rigorous Runtime Analysis of Inversely Fitness Proportional Mutation Rates

Christine Zarges, C. Zarges, 2008, PPSN.

Ingo Wegener

Dirk Sudholt, Christine Zarges, Carsten Witt, 2009, Evolutionary Computation.

Artificial immune systems for optimisation

Thomas Jansen, Christine Zarges, T. Jansen, 2012, GECCO '12.

Unlimited Budget Analysis of Randomised Search Heuristics pdf

Christine Zarges, Jun He, Thomas Jansen, 2019, ArXiv.

Reevaluating Immune-Inspired Hypermutations Using the Fixed Budget Perspective

Thomas Jansen, Christine Zarges, T. Jansen, 2014, IEEE Transactions on Evolutionary Computation.

On the Benefits of Aging and the Importance of Details

Thomas Jansen, Christine Zarges, T. Jansen, 2010, ICARIS.

Evaluation of a Permutation-Based Evolutionary Framework for Lyndon Factorizations

Christine Zarges, Jacqueline W. Daykin, Amanda Clare, 2020, PPSN.

Analysis of Randomised Search Heuristics for Dynamic Optimisation

Thomas Jansen, Christine Zarges, T. Jansen, 2015, Evolutionary Computation.

On Easiest Functions for Mutation Operators in Bio-Inspired Optimisation

Thomas Jansen, Pietro Simone Oliveto, Dirk Sudholt, 2016, Algorithmica.

Cooperative Visual Tracking in a Team of Autonomous Mobile Robots

Christine Zarges, Walter Nisticò, Matthias Hebbel, 2006, RoboCup.

An Immune-Inspired Algorithm for the Set Cover Problem

Christine Zarges, Jonathan E. Rowe, Ayush Joshi, 2014, PPSN.

Evolutionary Computation in Combinatorial Optimization: 20th European Conference, EvoCOP 2020, Held as Part of EvoStar 2020, Seville, Spain, April 15–17, 2020, Proceedings

Christine Zarges, Elisa Bertino, Luís Paquete, 2020, EvoCOP.

Theoretical Foundations of Immune-Inspired Randomized Search Heuristics for Optimization

Christine Zarges, C. Zarges, 2019, Theory of Evolutionary Computation.

Analysis of diversity mechanisms for optimisation in dynamic environments with low frequencies of change

Pietro Simone Oliveto, Christine Zarges, 2015, Theor. Comput. Sci..

Maximal age in randomized search heuristics with aging

Thomas Jansen, Christine Zarges, Christian Horoba, 2009, GECCO.

On the Runtime Analysis of Fitness Sharing Mechanisms

Pietro Simone Oliveto, Dirk Sudholt, Christine Zarges, 2014, PPSN.

Analysis of evolutionary algorithms: from computational complexity analysis to algorithm engineering

Thomas Jansen, Christine Zarges, T. Jansen, 2011, FOGA '11.

GECCO ’14: Proceedings of the 2014 conference on Genetic and evolutionary computation

Julian Togelius, Christine Zarges, Hitoshi Iba, 2014 .

Theoretical results on bet-and-run as an initialisation strategy

Dirk Sudholt, Christine Zarges, Markus Wagner, 2017, GECCO.

Example Landscapes to Support Analysis of Multimodal Optimisation

Thomas Jansen, Christine Zarges, T. Jansen, 2016, PPSN.

Analyzing different variants of immune inspired somatic contiguous hypermutations

Thomas Jansen, Christine Zarges, T. Jansen, 2011, Theor. Comput. Sci..

Variation in Artificial Immune Systems: Hypermutations with Mutation Potential

Thomas Jansen, Christine Zarges, T. Jansen, 2011, ICARIS.

Fixed budget computations: a different perspective on run time analysis

Thomas Jansen, Christine Zarges, T. Jansen, 2012, GECCO '12.

The Workshops at PPSN 2016

Christine Zarges, Christian Blum, 2016, PPSN.

On the utility of the population size for inversely fitness proportional mutation rates

Christine Zarges, C. Zarges, 2009, FOGA '09.

Evolutionary algorithms and artificial immune systems on a bi-stable dynamic optimisation problem

Thomas Jansen, Christine Zarges, T. Jansen, 2014, GECCO.

A method to derive fixed budget results from expected optimisation times

Thomas Jansen, Christine Zarges, Benjamin Doerr, 2013, GECCO '13.

Rough Set Theory as a Data Mining Technique: A Case Study in Epidemiology and Cancer Incidence Prediction

Christine Zarges, Zaineb Chelly Dagdia, Mehdi Benchoufi, 2018, ECML/PKDD.

A black-box discrete optimization benchmarking (BB-DOB) pipeline survey: taxonomy, evaluation, and ranking

Christine Zarges, Ales Zamuda, Miguel Nicolau, 2018, GECCO.

Understanding randomised search heuristics lessons from the evolution of theory: A case study

Thomas Jansen, Christine Zarges, T. Jansen, 2014 .

A Distributed Rough Set Theory Algorithm based on Locality Sensitive Hashing for an Efficient Big Data Pre-processing

Christine Zarges, Mustapha Lebbah, Hanene Azzag, 2018, 2018 IEEE International Conference on Big Data (Big Data).

Improving the Performance of the Germinal Center Artificial Immune System Using \epsilon -Dominance: A Multi-objective Knapsack Problem Case Study

Christine Zarges, Jonathan E. Rowe, Ayush Joshi, 2015, EvoCOP.

Evolutionary search techniques for the Lyndon factorization of biosequences

Christine Zarges, Jacqueline W. Daykin, Amanda Clare, 2019, GECCO.

On the Analysis of the Immune-Inspired B-Cell Algorithm for the Vertex Cover Problem

Thomas Jansen, Pietro Simone Oliveto, Christine Zarges, 2011, ICARIS.

Analysis of diversity mechanisms for optimisation in dynamic environments with low frequencies of change

Pietro Simone Oliveto, Christine Zarges, P. S. Oliveto, 2013, GECCO '13.

Unlimited budget analysis

Thomas Jansen, Christine Zarges, Jun He, 2019, GECCO.

A Detailed Study of the Distributed Rough Set Based Locality Sensitive Hashing Feature Selection Technique

Christine Zarges, Zaineb Chelly Dagdia, Chelly Dagdia, 2021, Fundam. Informaticae.