Time Complexity of genetic algorithms on exponentially scaled problems. - Fernando G. Lobo; David E. Goldberg; Martin Pelikan (GECCO, 2000)

Hierarchical Problem Solving and the Bayesian Optimization Algorithm. - Martin Pelikan; David E. Goldberg (GECCO, 2000)

Bayesian Optimization Algorithm, Population Sizing, and Time to Convergence. - Martin Pelikan; David E. Goldberg; Erick Cantú-Paz (GECCO, 2000)

Parameter-less Genetic Algorithm: A Worst-case Time and Space Complexity Analysis. - Martin Pelikan; Fernando G. Lobo (GECCO, 2000)

Genetic Algorithms, Clustering, and the Breaking of Symmetry. - Martin Pelikan; David E. Goldberg (PPSN, 2000)

Linkage Problem, Distribution Estimation, and Bayesian Networks. - Martin Pelikan; David E. Goldberg; Erick Cantú-Paz (Evol. Comput., 2000)

Multiple-objective Bayesian Optimization Algorithm. - Nazan Khan; David E. Goldberg; Martin Pelikan (GECCO, 2002)

Combining The Strengths Of Bayesian Optimization Algorithm And Adaptive Evolution Strategies. - Martin Pelikan; David E. Goldberg; Shigeyoshi Tsutsui (GECCO, 2002)

A Survey of Optimization by Building and Using Probabilistic Models. - Martin Pelikan; David E. Goldberg; Fernando G. Lobo (Comput. Optim. Appl., 2002)

Scalability of the Bayesian optimization algorithm. - Martin Pelikan; Kumara Sastry; David E. Goldberg (Int. J. Approx. Reason., 2002)

Bayesian Optimization Algorithm: From Single Level to Hierarchy - Martin Pelikan (2002)

Design of Multithreaded Estimation of Distribution Algorithms. - Jiri Ocenasek; Josef Schwarz; Martin Pelikan (GECCO, 2003)

Hierarchical BOA Solves Ising Spin Glasses and MAXSAT. - Martin Pelikan; David E. Goldberg (GECCO, 2003)

A hierarchy machine: Learning to optimize from nature and humans. - Martin Pelikan; David E. Goldberg (Complex., 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)

Efficiency enhancement of genetic algorithms via building-block-wise fitness estimation. - Kumara Sastry; Martin Pelikan; David E. Goldberg (IEEE Congress on Evolutionary Computation, 2004)

Parameter-Less Hierarchical BOA. - Martin Pelikan; Tz-Kai Lin (GECCO (2), 2004)

Computational Complexity and Simulation of Rare Events of Ising Spin Glasses. - Martin Pelikan; Jiri Ocenasek; Simon Trebst; Matthias Troyer; Fabien Alet (GECCO (2), 2004)

Fitness Inheritance in the Bayesian Optimization Algorithm. - Martin Pelikan; Kumara Sastry (GECCO (2), 2004)

Efficiency Enhancement of Probabilistic Model Building Genetic Algorithms - Kumara Sastry; David E. Goldberg; Martin Pelikan (CoRR, 2004)

Parallel Mixed Bayesian Optimization Algorithm: A Scaleup Analysis - Jiri Ocenasek; Martin Pelikan (CoRR, 2004)

Hierarchical Bayesian Optimization Algorithm - Toward a new Generation of Evolutionary Algorithms - Martin Pelikan (Springer, 2005)

Limits of scalability of multiobjective estimation of distribution algorithms. - Kumara Sastry; David E. Goldberg; Martin Pelikan (Congress on Evolutionary Computation, 2005)

Performance of aggregation pheromone system on unimodal and multimodal problems. - Shigeyoshi Tsutsui; Martin Pelikan; Ashish Ghosh (Congress on Evolutionary Computation, 2005)

Extracted global structure makes local building block processing effective in XCS. - Martin V. Butz; Martin Pelikan; Xavier Llorà; David E. Goldberg (GECCO, 2005)

Scalability of genetic programming and probabilistic incremental program evolution. - Radovan Ondas; Martin Pelikan; Kumara Sastry (GECCO, 2005)

Multiobjective hBOA, clustering, and scalability. - Martin Pelikan; Kumara Sastry; David E. Goldberg (GECCO, 2005)

Decomposable Problems, Niching, and Scalability of Multiobjective Estimation of Distribution Algorithms - Kumara Sastry; Martin Pelikan; David E. Goldberg (CoRR, 2005)

Studying XCS/BOA learning in Boolean functions: structure encoding and random Boolean functions. - Martin V. Butz; Martin Pelikan (GECCO, 2006)

Hierarchical BOA on random decomposable problems. - Martin Pelikan; Kumara Sastry; Martin V. Butz; David E. Goldberg (GECCO, 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 (PPSN, 2006)

Hierarchical BOA, Cluster Exact Approximation, and Ising Spin Glasses. - Martin Pelikan; Alexander K. Hartmann; Kumara Sastry (PPSN, 2006)

Performance of Evolutionary Algorithms on Random Decomposable Problems. - Martin Pelikan; Kumara Sastry; Martin V. Butz; David E. Goldberg (PPSN, 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)

Edge histogram based sampling with local search for solving permutation problems. - Shigeyoshi Tsutsui; Martin Pelikan; Ashish Ghosh (Int. J. Hybrid Intell. Syst., 2006)

Effective and Reliable Online Classification Combining XCS with EDA Mechanisms. - Martin V. Butz; Martin Pelikan; Xavier Llorà; David E. Goldberg (Scalable Optimization via Probabilistic Modeling, 2006)

Design of Parallel Estimation of Distribution Algorithms. - Jiri Ocenasek; Erick Cantú-Paz; Martin Pelikan; Josef Schwarz (Scalable Optimization via Probabilistic Modeling, 2006)

Hierarchical Bayesian Optimization Algorithm. - Martin Pelikan; David E. Goldberg (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 (Scalable Optimization via Probabilistic Modeling, 2006)

Introduction. - Martin Pelikan; Kumara Sastry; Erick Cantú-Paz (Scalable Optimization via Probabilistic Modeling, 2006)

Multiobjective Estimation of Distribution Algorithms. - Martin Pelikan; Kumara Sastry; David E. Goldberg (Scalable Optimization via Probabilistic Modeling, 2006)

Efficiency Enhancement of Estimation of Distribution Algorithms. - Kumara Sastry; Martin Pelikan; David E. Goldberg (Scalable Optimization via Probabilistic Modeling, 2006)

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 (IEEE Congress on Evolutionary Computation, 2007)

Analyzing probabilistic models in hierarchical BOA on traps and spin glasses. - Mark Hauschild; Martin Pelikan; Cláudio F. Lima; Kumara Sastry (GECCO, 2007)

Obtaining ground states of ising spin glasses via optimizing bonds instead of spins. - Martin Pelikan; Alexander K. Hartmann (GECCO, 2007)

Hybrid evolutionary algorithms on minimum vertex cover for random graphs. - Martin Pelikan; Rajiv Kalapala; Alexander K. Hartmann (GECCO, 2007)

Order or not: does parallelization of model building in hBOA affect its scalability? - Martin Pelikan; James D. Laury Jr. (GECCO, 2007)

Dependency trees, permutations, and quadratic assignment problem. - Martin Pelikan; Shigeyoshi Tsutsui; Rajiv Kalapala (GECCO, 2007)

Empirical analysis of ideal recombination on random decomposable problems. - Kumara Sastry; Martin Pelikan; David E. Goldberg (GECCO, 2007)

Population sizing for entropy-based model building in discrete estimation of distribution algorithms. - Tian-Li Yu 001; Kumara Sastry; David E. Goldberg; Martin Pelikan (GECCO, 2007)

Parameter-less Hierarchical Bayesian Optimization Algorithm. - Martin Pelikan; Alexander K. Hartmann; Tz-Kai Lin (Parameter Setting in Evolutionary Algorithms, 2007)

An application of a multivariate estimation of distribution algorithm to cancer chemotherapy. - Alexander E. I. Brownlee; Martin Pelikan; John A. W. McCall; Andrei Petrovski 001 (GECCO, 2008)

From mating pool distributions to model overfitting. - Cláudio F. Lima; Fernando G. Lobo; Martin Pelikan (GECCO, 2008)

Analysis of estimation of distribution algorithms and genetic algorithms on NK landscapes. - Martin Pelikan (GECCO, 2008)

Probabilistic model-building genetic algorithms. - Martin Pelikan (GECCO (Companion), 2008)

Finding ground states of Sherrington-Kirkpatrick spin glasses with hierarchical boa and genetic algorithms. - Martin Pelikan; Helmut G. Katzgraber; Sigismund Kobe (GECCO, 2008)

iBOA: the incremental bayesian optimization algorithm. - Martin Pelikan; Kumara Sastry; David E. Goldberg (GECCO, 2008)

Enhancing Efficiency of Hierarchical BOA Via Distance-Based Model Restrictions. - Mark Hauschild; Martin Pelikan (PPSN, 2008)

Sporadic model building for efficiency enhancement of the hierarchical BOA. - Martin Pelikan; Kumara Sastry; David E. Goldberg (Genet. Program. Evolvable Mach., 2008)

Linkage Learning Accuracy in the Bayesian Optimization Algorithm. - Cláudio F. Lima; Martin Pelikan; David E. Goldberg; Fernando G. Lobo; Kumara Sastry; Mark Hauschild (Linkage in Evolutionary Computation, 2008)

Intelligent bias of network structures in the hierarchical BOA. - Mark Hauschild; Martin Pelikan (GECCO, 2009)

Analysis of evolutionary algorithms on the one-dimensional spin glass with power-law interactions. - Martin Pelikan; Helmut G. Katzgraber (GECCO, 2009)

Initial-population bias in the univariate estimation of distribution algorithm. - Martin Pelikan; Kumara Sastry (GECCO, 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 (GECCO, 2009)

Effects of a deterministic hill climber on hBOA. - Elizabeth Radetic; Martin Pelikan; David E. Goldberg (GECCO, 2009)

Loopy Substructural Local Search for the Bayesian Optimization Algorithm. - Cláudio F. Lima; Martin Pelikan; Fernando G. Lobo; David E. Goldberg (SLS, 2009)

Dependency Structure Matrix, Genetic Algorithms, and Effective Recombination. - Tian-Li Yu 001; David E. Goldberg; Kumara Sastry; Cláudio F. Lima; Martin Pelikan (Evol. Comput., 2009)

Analyzing Probabilistic Models in Hierarchical BOA. - Mark Hauschild; Martin Pelikan; Kumara Sastry; Cláudio F. Lima (IEEE Trans. Evol. Comput., 2009)

Network crossover performance on NK landscapes and deceptive problems. - Mark Hauschild; Martin Pelikan (GECCO, 2010)

NK landscapes, problem difficulty, and hybrid evolutionary algorithms. - Martin Pelikan (GECCO, 2010)

Spurious dependencies and EDA scalability. - Elizabeth Radetic; Martin Pelikan (GECCO, 2010)

Performance of Network Crossover on NK Landscapes and Spin Glasses. - Mark Hauschild; Martin Pelikan (PPSN (2), 2010)

Advanced neighborhoods and problem difficulty measures. - Mark Hauschild; Martin Pelikan (GECCO, 2011)

Analysis of epistasis correlation on NK landscapes with nearest-neighbor interactions. - Martin Pelikan (GECCO, 2011)

Pairwise and problem-specific distance metrics in the linkage tree genetic algorithm. - Martin Pelikan; Mark Hauschild; Dirk Thierens (GECCO, 2011)

Model accuracy in the Bayesian optimization algorithm. - Cláudio F. Lima; Fernando G. Lobo; Martin Pelikan; David E. Goldberg (Soft Comput., 2011)

An introduction and survey of estimation of distribution algorithms. - Mark Hauschild; Martin Pelikan (Swarm Evol. Comput., 2011)

Influence of selection on structure learning in markov network EDAs: an empirical study. - Alexander E. I. Brownlee; John A. W. McCall; Martin Pelikan (GECCO, 2012)

Image segmentation using a genetic algorithm and hierarchical local search. - Mark Hauschild; Sanjiv K. Bhatia; Martin Pelikan (GECCO, 2012)

Linkage learning using the maximum spanning tree of the dependency graph. - B. Hoda Helmi; Martin Pelikan; Adel Torkaman Rahmani (GECCO (Companion), 2012)

Distance-based bias in model-directed optimization of additively decomposable problems. - Martin Pelikan; Mark Hauschild (GECCO, 2012)

Transfer Learning, Soft Distance-Based Bias, and the Hierarchical BOA. - Martin Pelikan; Mark Hauschild; Pier Luca Lanzi (PPSN (1), 2012)

Transfer Learning, Soft Distance-Based Bias, and the Hierarchical BOA - Martin Pelikan; Mark Hauschild (CoRR, 2012)

Using Previous Models to Bias Structural Learning in the Hierarchical BOA. - Mark Hauschild; Martin Pelikan; Kumara Sastry; David E. Goldberg (Evol. Comput., 2012)

Factor graph based factorization distribution algorithm. - B. Hoda Helmi; Adel Torkaman Rahmani; Martin Pelikan (GECCO (Companion), 2013)

A factor graph based genetic algorithm. - B. Hoda Helmi; Adel Torkaman Rahmani; Martin Pelikan (Int. J. Appl. Math. Comput. Sci., 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)

Data Modeling for Precision Agriculture. - Jan Tyrychtr; Václav Vostrovský; Martin Pelikan (CSOC (2), 2015)

Estimation of Distribution Algorithms. - Martin Pelikan; Mark Hauschild; Fernando G. Lobo (Handbook of Computational Intelligence, 2015)

Multidimensional Design of OLAP System for Context-Aware Analysis in the Ambient Intelligence Environment. - Jan Tyrychtr; Martin Pelikan; Hana Stiková; Ivan Vrana (CSOC (2), 2016)

Designing smart manufacturing workplace utilizing fuzzy screening approach. - Shady Aly; Martin Pelikan; Ivan Vrana (ICSAI, 2017)

Detection of Resource Overload in Conditions of Project Ambiguity. - Martin Pelikan; Hana Stiková; Ivan Vrana (IEEE Trans. Fuzzy Syst., 2017)

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)

A novel methodology for designing smart workplace environments utilizing fuzzy relations. - Shady Aly; Martin Pelikan; Ivan Vrana (J. Ambient Intell. Smart Environ., 2018)

Correction to "Detection of Resource Overload in Conditions of Project Ambiguity". - Martin Pelikan; Hana Stiková; Ivan Vrana (IEEE Trans. Fuzzy Syst., 2018)

Software Algorithm of EM-OLAP Tool: Design of OLAP Database for Econometric Application. - Jan Tyrychtr; Martin Pelikán; Ivan Vrana (CSOC (1), 2019)

Reducing Permission Requests in Mobile Apps. - Sai Teja Peddinti; Igor Bilogrevic; Nina Taft; Martin Pelikan; Úlfar Erlingsson; Pauline Anthonysamy; Giles Hogben (Internet Measurement Conference, 2019)

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)

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 (ASRU, 2023)

Population Expansion for Training Language Models with Private Federated Learning. - Tatsuki Koga; Congzheng Song; Martin Pelikan; Mona Chitnis (CoRR, 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)

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 (NeurIPS, 2024)