Martin Pelikan

According to our database, Martin Pelikan authored at least 102 papers between 2000 and 2024.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of three.

2024

pfl-research: simulation framework for accelerating research in Private Federated Learning.

Filip Granqvist, Congzheng Song, Áine Cahill, Rogier C. van Dalen, Martin Pelikan, Yi Sheng Chan, Xiaojun Feng, Natarajan Krishnaswami, Vojta Jina, Mona Chitnis

CoRR, 2024

2023

Federated Learning with Differential Privacy for End-to-End Speech Recognition.

Martin Pelikan, Sheikh Shams Azam, Vitaly Feldman, Jan Honza Silovsky, Kunal Talwar, Tatiana Likhomanenko

CoRR, 2023

Population Expansion for Training Language Models with Private Federated Learning.

Tatsuki Koga, Congzheng Song, Martin Pelikan, Mona Chitnis

CoRR, 2023

Importance of Smoothness Induced by Optimizers in Fl4Asr: Towards Understanding Federated Learning for End-To-End ASR.

Sheikh Shams Azam, Tatiana Likhomanenko, Martin Pelikan, Jan Honza Silovsky

Proceedings of the IEEE Automatic Speech Recognition and Understanding Workshop, 2023

2021

BeCoMe: Easy-to-implement optimized method for best-compromise group decision making: Flood-prevention and COVID-19 case studies.

Ivan Vrana, Jan Tyrychtr, Martin Pelikán

Environ. Model. Softw., 2021

2019

Reducing Permission Requests in Mobile Apps.

Sai Teja Peddinti, Igor Bilogrevic, Nina Taft, Martin Pelikan, Úlfar Erlingsson, Pauline Anthonysamy, Giles Hogben

Proceedings of the Internet Measurement Conference, 2019

Software Algorithm of EM-OLAP Tool: Design of OLAP Database for Econometric Application.

Jan Tyrychtr, Martin Pelikán, Ivan Vrana

Proceedings of the Software Engineering Methods in Intelligent Algorithms, 2019

2018

Correction to "Detection of Resource Overload in Conditions of Project Ambiguity".

Martin Pelikan, Hana Stiková, Ivan Vrana

IEEE Trans. Fuzzy Syst., 2018

A novel methodology for designing smart workplace environments utilizing fuzzy relations.

Shady Aly, Martin Pelikan, Ivan Vrana

J. Ambient Intell. Smart Environ., 2018

EM-OLAP Framework - Econometric Model Transformation Method for OLAP Design in Intelligence Systems.

Jan Tyrychtr, Martin Pelikan, Hana Stiková, Ivan Vrana

Bus. Inf. Syst. Eng., 2018

2017

Detection of Resource Overload in Conditions of Project Ambiguity.

Martin Pelikan, Hana Stiková, Ivan Vrana

IEEE Trans. Fuzzy Syst., 2017

Designing smart manufacturing workplace utilizing fuzzy screening approach.

Shady Aly, Martin Pelikan, Ivan Vrana

Proceedings of the 4th International Conference on Systems and Informatics, 2017

2016

Multidimensional Design of OLAP System for Context-Aware Analysis in the Ambient Intelligence Environment.

Jan Tyrychtr, Martin Pelikan, Hana Stiková, Ivan Vrana

Proceedings of the Software Engineering Perspectives and Application in Intelligent Systems, 2016

2015

Estimation of Distribution Algorithms.

Martin Pelikan, Mark Hauschild, Fernando G. Lobo

Proceedings of the Springer Handbook of Computational Intelligence, 2015

Data Modeling for Precision Agriculture.

Jan Tyrychtr, Václav Vostrovský, Martin Pelikan

Proceedings of the Software Engineering in Intelligent Systems, 2015

2014

A generalized model for quantifying the impact of Ambient Intelligence on smart workplaces: Applications in manufacturing.

Shady Aly, Martin Pelikan, Ivan Vrana

J. Ambient Intell. Smart Environ., 2014

A factor graph based genetic algorithm.

B. Hoda Helmi, Adel Torkaman Rahmani, Martin Pelikan

Int. J. Appl. Math. Comput. Sci., 2014

2013

Factor graph based factorization distribution algorithm.

B. Hoda Helmi, Adel Torkaman Rahmani, Martin Pelikan

Proceedings of the Genetic and Evolutionary Computation Conference, 2013

2012

Using Previous Models to Bias Structural Learning in the Hierarchical BOA.

Mark Hauschild, Martin Pelikan, Kumara Sastry, David E. Goldberg

Evol. Comput., 2012

Transfer Learning, Soft Distance-Based Bias, and the Hierarchical BOA

Martin Pelikan, Mark Hauschild

CoRR, 2012

Transfer Learning, Soft Distance-Based Bias, and the Hierarchical BOA.

Martin Pelikan, Mark Hauschild, Pier Luca Lanzi

Proceedings of the Parallel Problem Solving from Nature - PPSN XII, 2012

Distance-based bias in model-directed optimization of additively decomposable problems.

Martin Pelikan, Mark Hauschild

Proceedings of the Genetic and Evolutionary Computation Conference, 2012

Linkage learning using the maximum spanning tree of the dependency graph.

B. Hoda Helmi, Martin Pelikan, Adel Torkaman Rahmani

Proceedings of the Genetic and Evolutionary Computation Conference, 2012

Image segmentation using a genetic algorithm and hierarchical local search.

Mark Hauschild, Sanjiv K. Bhatia, Martin Pelikan

Proceedings of the Genetic and Evolutionary Computation Conference, 2012

Influence of selection on structure learning in markov network EDAs: an empirical study.

Alexander E. I. Brownlee, John A. W. McCall, Martin Pelikan

Proceedings of the Genetic and Evolutionary Computation Conference, 2012

2011

An introduction and survey of estimation of distribution algorithms.

Mark Hauschild, Martin Pelikan

Swarm Evol. Comput., 2011

Model accuracy in the Bayesian optimization algorithm.

Cláudio F. Lima, Fernando G. Lobo, Martin Pelikan, David E. Goldberg

Soft Comput., 2011

Pairwise and problem-specific distance metrics in the linkage tree genetic algorithm.

Martin Pelikan, Mark Hauschild, Dirk Thierens

Proceedings of the 13th Annual Genetic and Evolutionary Computation Conference, 2011

Analysis of epistasis correlation on NK landscapes with nearest-neighbor interactions.

Martin Pelikan

Proceedings of the 13th Annual Genetic and Evolutionary Computation Conference, 2011

Advanced neighborhoods and problem difficulty measures.

Mark Hauschild, Martin Pelikan

Proceedings of the 13th Annual Genetic and Evolutionary Computation Conference, 2011

2010

Performance of Network Crossover on NK Landscapes and Spin Glasses.

Mark Hauschild, Martin Pelikan

Proceedings of the Parallel Problem Solving from Nature, 2010

Spurious dependencies and EDA scalability.

Elizabeth Radetic, Martin Pelikan

Proceedings of the Genetic and Evolutionary Computation Conference, 2010

NK landscapes, problem difficulty, and hybrid evolutionary algorithms.

Martin Pelikan

Proceedings of the Genetic and Evolutionary Computation Conference, 2010

Network crossover performance on NK landscapes and deceptive problems.

Mark Hauschild, Martin Pelikan

Proceedings of the Genetic and Evolutionary Computation Conference, 2010

2009

Analyzing Probabilistic Models in Hierarchical BOA.

Mark Hauschild, Martin Pelikan, Kumara Sastry, Cláudio F. Lima

IEEE Trans. Evol. Comput., 2009

Dependency Structure Matrix, Genetic Algorithms, and Effective Recombination.

Tian-Li Yu, David E. Goldberg, Kumara Sastry, Cláudio F. Lima, Martin Pelikan

Evol. Comput., 2009

Loopy Substructural Local Search for the Bayesian Optimization Algorithm.

Cláudio F. Lima, Martin Pelikan, Fernando G. Lobo, David E. Goldberg

Proceedings of the Engineering Stochastic Local Search Algorithms. Designing, 2009

Effects of a deterministic hill climber on hBOA.

Elizabeth Radetic, Martin Pelikan, David E. Goldberg

Proceedings of the Genetic and Evolutionary Computation Conference, 2009

Performance of evolutionary algorithms on NK landscapes with nearest neighbor interactions and tunable overlap.

Martin Pelikan, Kumara Sastry, David E. Goldberg, Martin V. Butz, Mark Hauschild

Proceedings of the Genetic and Evolutionary Computation Conference, 2009

Initial-population bias in the univariate estimation of distribution algorithm.

Martin Pelikan, Kumara Sastry

Proceedings of the Genetic and Evolutionary Computation Conference, 2009

Analysis of evolutionary algorithms on the one-dimensional spin glass with power-law interactions.

Martin Pelikan, Helmut G. Katzgraber

Proceedings of the Genetic and Evolutionary Computation Conference, 2009

Intelligent bias of network structures in the hierarchical BOA.

Mark Hauschild, Martin Pelikan

Proceedings of the Genetic and Evolutionary Computation Conference, 2009

2008

Linkage Learning Accuracy in the Bayesian Optimization Algorithm.

Cláudio F. Lima, Martin Pelikan, David E. Goldberg, Fernando G. Lobo, Kumara Sastry, Mark Hauschild

Proceedings of the Linkage in Evolutionary Computation, 2008

Sporadic model building for efficiency enhancement of the hierarchical BOA.

Martin Pelikan, Kumara Sastry, David E. Goldberg

Genet. Program. Evolvable Mach., 2008

Enhancing Efficiency of Hierarchical BOA Via Distance-Based Model Restrictions.

Mark Hauschild, Martin Pelikan

Proceedings of the Parallel Problem Solving from Nature, 2008

iBOA: the incremental bayesian optimization algorithm.

Martin Pelikan, Kumara Sastry, David E. Goldberg

Proceedings of the Genetic and Evolutionary Computation Conference, 2008

Finding ground states of Sherrington-Kirkpatrick spin glasses with hierarchical boa and genetic algorithms.

Martin Pelikan, Helmut G. Katzgraber, Sigismund Kobe

Proceedings of the Genetic and Evolutionary Computation Conference, 2008

Probabilistic model-building genetic algorithms.

Martin Pelikan

Proceedings of the Genetic and Evolutionary Computation Conference, 2008

Analysis of estimation of distribution algorithms and genetic algorithms on NK landscapes.

Martin Pelikan

Proceedings of the Genetic and Evolutionary Computation Conference, 2008

From mating pool distributions to model overfitting.

Cláudio F. Lima, Fernando G. Lobo, Martin Pelikan

Proceedings of the Genetic and Evolutionary Computation Conference, 2008

An application of a multivariate estimation of distribution algorithm to cancer chemotherapy.

Alexander E. I. Brownlee, Martin Pelikan, John A. W. McCall, Andrei Petrovski

Proceedings of the Genetic and Evolutionary Computation Conference, 2008

2007

Parameter-less Hierarchical Bayesian Optimization Algorithm.

Martin Pelikan, Alexander K. Hartmann, Tz-Kai Lin

Proceedings of the Parameter Setting in Evolutionary Algorithms, 2007

Population sizing for entropy-based model building in discrete estimation of distribution algorithms.

Tian-Li Yu, Kumara Sastry, David E. Goldberg, Martin Pelikan

Proceedings of the Genetic and Evolutionary Computation Conference, 2007

Empirical analysis of ideal recombination on random decomposable problems.

Kumara Sastry, Martin Pelikan, David E. Goldberg

Proceedings of the Genetic and Evolutionary Computation Conference, 2007

Dependency trees, permutations, and quadratic assignment problem.

Martin Pelikan, Shigeyoshi Tsutsui, Rajiv Kalapala

Proceedings of the Genetic and Evolutionary Computation Conference, 2007

Order or not: does parallelization of model building in hBOA affect its scalability?

Martin Pelikan, James D. Laury Jr.

Proceedings of the Genetic and Evolutionary Computation Conference, 2007

Hybrid evolutionary algorithms on minimum vertex cover for random graphs.

Martin Pelikan, Rajiv Kalapala, Alexander K. Hartmann

Proceedings of the Genetic and Evolutionary Computation Conference, 2007

Obtaining ground states of ising spin glasses via optimizing bonds instead of spins.

Martin Pelikan, Alexander K. Hartmann

Proceedings of the Genetic and Evolutionary Computation Conference, 2007

Analyzing probabilistic models in hierarchical BOA on traps and spin glasses.

Mark Hauschild, Martin Pelikan, Cláudio F. Lima, Kumara Sastry

Proceedings of the Genetic and Evolutionary Computation Conference, 2007

Influence of selection and replacement strategies on linkage learning in BOA.

Cláudio F. Lima, Martin Pelikan, David E. Goldberg, Fernando G. Lobo, Kumara Sastry, Mark Hauschild

Proceedings of the IEEE Congress on Evolutionary Computation, 2007

2006

Efficiency Enhancement of Estimation of Distribution Algorithms.

Kumara Sastry, Martin Pelikan, David E. Goldberg

Proceedings of the Scalable Optimization via Probabilistic Modeling, 2006

Multiobjective Estimation of Distribution Algorithms.

Martin Pelikan, Kumara Sastry, David E. Goldberg

Proceedings of the Scalable Optimization via Probabilistic Modeling, 2006

Introduction.

Martin Pelikan, Kumara Sastry, Erick Cantú-Paz

Proceedings of the Scalable Optimization via Probabilistic Modeling, 2006

Searching for Ground States of Ising Spin Glasses with Hierarchical BOA and Cluster Exact Approximation.

Martin Pelikan, Alexander K. Hartmann

Proceedings of the Scalable Optimization via Probabilistic Modeling, 2006

Hierarchical Bayesian Optimization Algorithm.

Martin Pelikan, David E. Goldberg

Proceedings of the Scalable Optimization via Probabilistic Modeling, 2006

Design of Parallel Estimation of Distribution Algorithms.

Jiri Ocenasek, Erick Cantú-Paz, Martin Pelikan, Josef Schwarz

Proceedings of the Scalable Optimization via Probabilistic Modeling, 2006

Effective and Reliable Online Classification Combining XCS with EDA Mechanisms.

Martin V. Butz, Martin Pelikan, Xavier Llorà, David E. Goldberg

Proceedings of the Scalable Optimization via Probabilistic Modeling, 2006

Edge histogram based sampling with local search for solving permutation problems.

Shigeyoshi Tsutsui, Martin Pelikan, Ashish Ghosh

Int. J. Hybrid Intell. Syst., 2006

Automated Global Structure Extraction for Effective Local Building Block Processing in XCS.

Martin V. Butz, Martin Pelikan, Xavier Llorà, David E. Goldberg

Evol. Comput., 2006

Performance of Evolutionary Algorithms on Random Decomposable Problems.

Martin Pelikan, Kumara Sastry, Martin V. Butz, David E. Goldberg

Proceedings of the Parallel Problem Solving from Nature, 2006

Hierarchical BOA, Cluster Exact Approximation, and Ising Spin Glasses.

Martin Pelikan, Alexander K. Hartmann, Kumara Sastry

Proceedings of the Parallel Problem Solving from Nature, 2006

Substructural Neighborhoods for Local Search in the Bayesian Optimization Algorithm.

Cláudio F. Lima, Martin Pelikan, Kumara Sastry, Martin V. Butz, David E. Goldberg, Fernando G. Lobo

Proceedings of the Parallel Problem Solving from Nature, 2006

Hierarchical BOA on random decomposable problems.

Martin Pelikan, Kumara Sastry, Martin V. Butz, David E. Goldberg

Proceedings of the Genetic and Evolutionary Computation Conference, 2006

Studying XCS/BOA learning in Boolean functions: structure encoding and random Boolean functions.

Martin V. Butz, Martin Pelikan

Proceedings of the Genetic and Evolutionary Computation Conference, 2006

2005

Decomposable Problems, Niching, and Scalability of Multiobjective Estimation of Distribution Algorithms

Kumara Sastry, Martin Pelikan, David E. Goldberg

CoRR, 2005

Multiobjective hBOA, clustering, and scalability.

Martin Pelikan, Kumara Sastry, David E. Goldberg

Proceedings of the Genetic and Evolutionary Computation Conference, 2005

Scalability of genetic programming and probabilistic incremental program evolution.

Radovan Ondas, Martin Pelikan, Kumara Sastry

Proceedings of the Genetic and Evolutionary Computation Conference, 2005

Extracted global structure makes local building block processing effective in XCS.

Martin V. Butz, Martin Pelikan, Xavier Llorà, David E. Goldberg

Proceedings of the Genetic and Evolutionary Computation Conference, 2005

Performance of aggregation pheromone system on unimodal and multimodal problems.

Shigeyoshi Tsutsui, Martin Pelikan, Ashish Ghosh

Proceedings of the IEEE Congress on Evolutionary Computation, 2005

Limits of scalability of multiobjective estimation of distribution algorithms.

Kumara Sastry, David E. Goldberg, Martin Pelikan

Proceedings of the IEEE Congress on Evolutionary Computation, 2005

Hierarchical Bayesian Optimization Algorithm - Toward a new Generation of Evolutionary Algorithms

Martin Pelikan

Studies in Fuzziness and Soft Computing 170, Springer, ISBN: 978-3-540-23774-7, 2005

2004

Parallel Mixed Bayesian Optimization Algorithm: A Scaleup Analysis

Jiri Ocenasek, Martin Pelikan

CoRR, 2004

Efficiency Enhancement of Probabilistic Model Building Genetic Algorithms

Kumara Sastry, David E. Goldberg, Martin Pelikan

CoRR, 2004

Fitness Inheritance in the Bayesian Optimization Algorithm.

Martin Pelikan, Kumara Sastry

Proceedings of the Genetic and Evolutionary Computation, 2004

Computational Complexity and Simulation of Rare Events of Ising Spin Glasses.

Martin Pelikan, Jiri Ocenasek, Simon Trebst, Matthias Troyer, Fabien Alet

Proceedings of the Genetic and Evolutionary Computation, 2004

Parameter-Less Hierarchical BOA.

Martin Pelikan, Tz-Kai Lin

Proceedings of the Genetic and Evolutionary Computation, 2004

Efficiency enhancement of genetic algorithms via building-block-wise fitness estimation.

Kumara Sastry, Martin Pelikan, David E. Goldberg

Proceedings of the IEEE Congress on Evolutionary Computation, 2004

2003

Getting the best of both worlds: Discrete and continuous genetic and evolutionary algorithms in concert.

Martin Pelikan, David E. Goldberg, Shigeyoshi Tsutsui

Inf. Sci., 2003

A hierarchy machine: Learning to optimize from nature and humans.

Martin Pelikan, David E. Goldberg

Complex., 2003

Hierarchical BOA Solves Ising Spin Glasses and MAXSAT.

Martin Pelikan, David E. Goldberg

Proceedings of the Genetic and Evolutionary Computation, 2003

Design of Multithreaded Estimation of Distribution Algorithms.

Jiri Ocenasek, Josef Schwarz, Martin Pelikan

Proceedings of the Genetic and Evolutionary Computation, 2003

2002

Bayesian Optimization Algorithm: From Single Level to Hierarchy

Martin Pelikan

PhD thesis, 2002

Scalability of the Bayesian optimization algorithm.

Martin Pelikan, Kumara Sastry, David E. Goldberg

Int. J. Approx. Reason., 2002

A Survey of Optimization by Building and Using Probabilistic Models.

Martin Pelikan, David E. Goldberg, Fernando G. Lobo

Comput. Optim. Appl., 2002

Combining The Strengths Of Bayesian Optimization Algorithm And Adaptive Evolution Strategies.

Martin Pelikan, David E. Goldberg, Shigeyoshi Tsutsui

Proceedings of the GECCO 2002: Proceedings of the Genetic and Evolutionary Computation Conference, 2002

Multiple-objective Bayesian Optimization Algorithm.

Nazan Khan, David E. Goldberg, Martin Pelikan

Proceedings of the GECCO 2002: Proceedings of the Genetic and Evolutionary Computation Conference, 2002

2000

Linkage Problem, Distribution Estimation, and Bayesian Networks.

Martin Pelikan, David E. Goldberg, Erick Cantú-Paz

Evol. Comput., 2000

Genetic Algorithms, Clustering, and the Breaking of Symmetry.

Martin Pelikan, David E. Goldberg

Proceedings of the Parallel Problem Solving from Nature, 2000

Parameter-less Genetic Algorithm: A Worst-case Time and Space Complexity Analysis.

Martin Pelikan, Fernando G. Lobo

Proceedings of the Genetic and Evolutionary Computation Conference (GECCO '00), 2000

Bayesian Optimization Algorithm, Population Sizing, and Time to Convergence.

Martin Pelikan, David E. Goldberg, Erick Cantú-Paz

Proceedings of the Genetic and Evolutionary Computation Conference (GECCO '00), 2000

Hierarchical Problem Solving and the Bayesian Optimization Algorithm.

Martin Pelikan, David E. Goldberg

Proceedings of the Genetic and Evolutionary Computation Conference (GECCO '00), 2000

Time Complexity of genetic algorithms on exponentially scaled problems.

Fernando G. Lobo, David E. Goldberg, Martin Pelikan

Proceedings of the Genetic and Evolutionary Computation Conference (GECCO '00), 2000