Martin S. Krejca

Orcid: 0000-0002-1765-1219

Affiliations:
  • Ecole Polytechnique, Palaiseau, France


According to our database1, Martin S. Krejca authored at least 54 papers between 2015 and 2024.

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Bibliography

2024
Robust Parameter Fitting to Realistic Network Models via Iterative Stochastic Approximation (Data and Code).
Dataset, February, 2024

Estimation-of-distribution algorithms for multi-valued decision variables.
Theor. Comput. Sci., 2024

Robust Parameter Fitting to Realistic Network Models via Iterative Stochastic Approximation.
CoRR, 2024

Proven Runtime Guarantees for How the MOEA/D: Computes the Pareto Front from the Subproblem Solutions.
Proceedings of the Parallel Problem Solving from Nature - PPSN XVIII, 2024

A Flexible Evolutionary Algorithm with Dynamic Mutation Rate Archive.
Proceedings of the Genetic and Evolutionary Computation Conference, 2024

Superior Genetic Algorithms for the Target Set Selection Problem Based on Power-Law Parameter Choices and Simple Greedy Heuristics.
Proceedings of the Genetic and Evolutionary Computation Conference, 2024

From Market Saturation to Social Reinforcement: Understanding the Impact of Non-Linearity in Information Diffusion Models.
Proceedings of the 23rd International Conference on Autonomous Agents and Multiagent Systems, 2024

Runtime Analysis of the (μ + 1) GA: Provable Speed-Ups from Strong Drift towards Diverse Populations.
Proceedings of the Thirty-Eighth AAAI Conference on Artificial Intelligence, 2024

The Irrelevance of Influencers: Information Diffusion with Re-Activation and Immunity Lasts Exponentially Long on Social Network Models.
Proceedings of the Thirty-Eighth AAAI Conference on Artificial Intelligence, 2024

2023
Evolutionary Minimization of Traffic Congestion.
IEEE Trans. Evol. Comput., December, 2023

Run Time Analysis for Random Local Search on Generalized Majority Functions.
IEEE Trans. Evol. Comput., October, 2023

Bivariate estimation-of-distribution algorithms can find an exponential number of optima.
Theor. Comput. Sci., September, 2023

Polymer dynamics via cliques: New conditions for approximations.
Theor. Comput. Sci., 2023

Synergizing Theory and Practice of Automated Algorithm Design for Optimization (Dagstuhl Seminar 23332).
Dagstuhl Reports, 2023

Lasting Diversity and Superior Runtime Guarantees for the (μ+1) Genetic Algorithm.
CoRR, 2023

The impact of geometry on monochrome regions in the flip Schelling process.
Comput. Geom., 2023

The Common-Neighbors Metric Is Noise-Robust and Reveals Substructures of Real-World Networks.
Proceedings of the Advances in Knowledge Discovery and Data Mining, 2023

2022
A Spectral Independence View on Hard Spheres via Block Dynamics.
SIAM J. Discret. Math., September, 2022

Using random graphs to sample repulsive Gibbs point processes with arbitrary-range potentials.
CoRR, 2022

Accelerated Information Dissemination on Networks with Local and Global Edges.
Proceedings of the Structural Information and Communication Complexity, 2022

Escaping Local Optima with Local Search: A Theory-Driven Discussion.
Proceedings of the Parallel Problem Solving from Nature - PPSN XVII, 2022

Theory-inspired parameter control benchmarks for dynamic algorithm configuration.
Proceedings of the GECCO '22: Genetic and Evolutionary Computation Conference, Boston, Massachusetts, USA, July 9, 2022

Algorithms for Hard-Constraint Point Processes via Discretization.
Proceedings of the Computing and Combinatorics - 28th International Conference, 2022

2021
A simplified run time analysis of the univariate marginal distribution algorithm on LeadingOnes.
Theor. Comput. Sci., 2021

The Univariate Marginal Distribution Algorithm Copes Well with Deception and Epistasis.
Evol. Comput., 2021

Algorithms for general hard-constraint point processes via discretization.
CoRR, 2021

The Flip Schelling Process on Random Geometric and Erdös-Rényi Graphs.
CoRR, 2021

2020
Theory of Estimation-of-Distribution Algorithms.
Proceedings of the Theory of Evolutionary Computation, 2020

Significance-Based Estimation-of-Distribution Algorithms.
IEEE Trans. Evol. Comput., 2020

Lower bounds on the run time of the Univariate Marginal Distribution Algorithm on OneMax.
Theor. Comput. Sci., 2020

Polymer dynamics via cliques with applications to hard-sphere mixtures.
CoRR, 2020

Memetic Genetic Algorithms for Time Series Compression by Piecewise Linear Approximation.
Proceedings of the Neural Information Processing - 27th International Conference, 2020

2019
Theoretical analyses of univariate estimation-of-distribution algorithms
PhD thesis, 2019

First-hitting times under drift.
Theor. Comput. Sci., 2019

Unbiasedness of estimation-of-distribution algorithms.
Theor. Comput. Sci., 2019

Routing for on-street parking search using probabilistic data.
AI Commun., 2019

Mixed Integer Programming versus Evolutionary Computation for Optimizing a Hard Real-World Staff Assignment Problem.
Proceedings of the Twenty-Ninth International Conference on Automated Planning and Scheduling, 2019

2018
Escaping Local Optima Using Crossover With Emergent Diversity.
IEEE Trans. Evol. Comput., 2018

Theory of Estimation-of-Distribution Algorithms.
CoRR, 2018

Intuitive Analyses via Drift Theory.
CoRR, 2018

Memory-Restricted Routing with Tiled Map Data.
Proceedings of the IEEE International Conference on Systems, Man, and Cybernetics, 2018

First-Hitting Times Under Additive Drift.
Proceedings of the Parallel Problem Solving from Nature - PPSN XV, 2018

First-Hitting Times for Finite State Spaces.
Proceedings of the Parallel Problem Solving from Nature - PPSN XV, 2018

2017
The Compact Genetic Algorithm is Efficient Under Extreme Gaussian Noise.
IEEE Trans. Evol. Comput., 2017

2016
Robustness of Ant Colony Optimization to Noise.
Evol. Comput., 2016

Escaping Local Optima using Crossover with Emergent or Reinforced Diversity.
CoRR, 2016

Graceful Scaling on Uniform Versus Steep-Tailed Noise.
Proceedings of the Parallel Problem Solving from Nature - PPSN XIV, 2016

Emergence of Diversity and Its Benefits for Crossover in Genetic Algorithms.
Proceedings of the Parallel Problem Solving from Nature - PPSN XIV, 2016

The Benefit of Recombination in Noisy Evolutionary Search.
Proceedings of the Genetic and Evolutionary Computation Conference, 2016

Fast Building Block Assembly by Majority Vote Crossover.
Proceedings of the 2016 on Genetic and Evolutionary Computation Conference, Denver, CO, USA, July 20, 2016

EDAs cannot be Balanced and Stable.
Proceedings of the 2016 on Genetic and Evolutionary Computation Conference, Denver, CO, USA, July 20, 2016

Escaping Local Optima with Diversity Mechanisms and Crossover.
Proceedings of the 2016 on Genetic and Evolutionary Computation Conference, Denver, CO, USA, July 20, 2016

Probabilistic Routing for On-Street Parking Search.
Proceedings of the 24th Annual European Symposium on Algorithms, 2016

2015
The Benefit of Sex in Noisy Evolutionary Search.
CoRR, 2015


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