Martin Pelikan

According to our database1, Martin Pelikan authored at least 106 papers between 2000 and 2019.

Collaborative distances:
  • Dijkstra number2 of four.
  • Erdős number3 of four.

Timeline

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Bibliography

2019
Reducing Permission Requests in Mobile Apps.
Proceedings of the Internet Measurement Conference, 2019

2018
Correction to "Detection of Resource Overload in Conditions of Project Ambiguity".
IEEE Trans. Fuzzy Systems, 2018

A novel methodology for designing smart workplace environments utilizing fuzzy relations.
JAISE, 2018

EM-OLAP Framework - Econometric Model Transformation Method for OLAP Design in Intelligence Systems.
Business & Information Systems Engineering, 2018

2017
Detection of Resource Overload in Conditions of Project Ambiguity.
IEEE Trans. Fuzzy Systems, 2017

Designing smart manufacturing workplace utilizing fuzzy screening approach.
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.
Proceedings of the Software Engineering Perspectives and Application in Intelligent Systems, 2016

2015
Estimation of Distribution Algorithms.
Proceedings of the Springer Handbook of Computational Intelligence, 2015

Data Modeling for Precision Agriculture.
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.
JAISE, 2014

A factor graph based genetic algorithm.
Applied Mathematics and Computer Science, 2014

2013
Factor graph based factorization distribution algorithm.
Proceedings of the Genetic and Evolutionary Computation Conference, 2013

2012
Using Previous Models to Bias Structural Learning in the Hierarchical BOA.
Evolutionary Computation, 2012

Transfer Learning, Soft Distance-Based Bias, and the Hierarchical BOA
CoRR, 2012

Distance-Based Bias in Model-Directed Optimization of Additively Decomposable Problems
CoRR, 2012

Transfer Learning, Soft Distance-Based Bias, and the Hierarchical BOA.
Proceedings of the Parallel Problem Solving from Nature - PPSN XII, 2012

Distance-based bias in model-directed optimization of additively decomposable problems.
Proceedings of the Genetic and Evolutionary Computation Conference, 2012

Linkage learning using the maximum spanning tree of the dependency graph.
Proceedings of the Genetic and Evolutionary Computation Conference, 2012

Image segmentation using a genetic algorithm and hierarchical local search.
Proceedings of the Genetic and Evolutionary Computation Conference, 2012

Influence of selection on structure learning in markov network EDAs: an empirical study.
Proceedings of the Genetic and Evolutionary Computation Conference, 2012

2011
An introduction and survey of estimation of distribution algorithms.
Swarm and Evolutionary Computation, 2011

Model accuracy in the Bayesian optimization algorithm.
Soft Comput., 2011

Pairwise and problem-specific distance metrics in the linkage tree genetic algorithm.
Proceedings of the 13th Annual Genetic and Evolutionary Computation Conference, 2011

Analysis of epistasis correlation on NK landscapes with nearest-neighbor interactions.
Proceedings of the 13th Annual Genetic and Evolutionary Computation Conference, 2011

Advanced neighborhoods and problem difficulty measures.
Proceedings of the 13th Annual Genetic and Evolutionary Computation Conference, 2011

2010
Performance of Network Crossover on NK Landscapes and Spin Glasses.
Proceedings of the Parallel Problem Solving from Nature, 2010

Spurious dependencies and EDA scalability.
Proceedings of the Genetic and Evolutionary Computation Conference, 2010

NK landscapes, problem difficulty, and hybrid evolutionary algorithms.
Proceedings of the Genetic and Evolutionary Computation Conference, 2010

Network crossover performance on NK landscapes and deceptive problems.
Proceedings of the Genetic and Evolutionary Computation Conference, 2010

2009
Analyzing Probabilistic Models in Hierarchical BOA.
IEEE Trans. Evolutionary Computation, 2009

Dependency Structure Matrix, Genetic Algorithms, and Effective Recombination.
Evolutionary Computation, 2009

Loopy Substructural Local Search for the Bayesian Optimization Algorithm.
Proceedings of the Engineering Stochastic Local Search Algorithms. Designing, 2009

Effects of a deterministic hill climber on hBOA.
Proceedings of the Genetic and Evolutionary Computation Conference, 2009

Performance of evolutionary algorithms on NK landscapes with nearest neighbor interactions and tunable overlap.
Proceedings of the Genetic and Evolutionary Computation Conference, 2009

Initial-population bias in the univariate estimation of distribution algorithm.
Proceedings of the Genetic and Evolutionary Computation Conference, 2009

Analysis of evolutionary algorithms on the one-dimensional spin glass with power-law interactions.
Proceedings of the Genetic and Evolutionary Computation Conference, 2009

Intelligent bias of network structures in the hierarchical BOA.
Proceedings of the Genetic and Evolutionary Computation Conference, 2009

2008
Linkage Learning Accuracy in the Bayesian Optimization Algorithm.
Proceedings of the Linkage in Evolutionary Computation, 2008

Sporadic model building for efficiency enhancement of the hierarchical BOA.
Genetic Programming and Evolvable Machines, 2008

iBOA: The Incremental Bayesian Optimization Algorithm
CoRR, 2008

Analysis of Estimation of Distribution Algorithms and Genetic Algorithms on NK Landscapes
CoRR, 2008

Enhancing Efficiency of Hierarchical BOA Via Distance-Based Model Restrictions.
Proceedings of the Parallel Problem Solving from Nature, 2008

iBOA: the incremental bayesian optimization algorithm.
Proceedings of the Genetic and Evolutionary Computation Conference, 2008

Finding ground states of Sherrington-Kirkpatrick spin glasses with hierarchical boa and genetic algorithms.
Proceedings of the Genetic and Evolutionary Computation Conference, 2008

Analysis of estimation of distribution algorithms and genetic algorithms on NK landscapes.
Proceedings of the Genetic and Evolutionary Computation Conference, 2008

From mating pool distributions to model overfitting.
Proceedings of the Genetic and Evolutionary Computation Conference, 2008

Using previous models to bias structural learning in the hierarchical BOA.
Proceedings of the Genetic and Evolutionary Computation Conference, 2008

An application of a multivariate estimation of distribution algorithm to cancer chemotherapy.
Proceedings of the Genetic and Evolutionary Computation Conference, 2008

2007
Parameter-less Hierarchical Bayesian Optimization Algorithm.
Proceedings of the Parameter Setting in Evolutionary Algorithms, 2007

Population sizing for entropy-based model building in discrete estimation of distribution algorithms.
Proceedings of the Genetic and Evolutionary Computation Conference, 2007

Empirical analysis of ideal recombination on random decomposable problems.
Proceedings of the Genetic and Evolutionary Computation Conference, 2007

Dependency trees, permutations, and quadratic assignment problem.
Proceedings of the Genetic and Evolutionary Computation Conference, 2007

Order or not: does parallelization of model building in hBOA affect its scalability?
Proceedings of the Genetic and Evolutionary Computation Conference, 2007

Hybrid evolutionary algorithms on minimum vertex cover for random graphs.
Proceedings of the Genetic and Evolutionary Computation Conference, 2007

Obtaining ground states of ising spin glasses via optimizing bonds instead of spins.
Proceedings of the Genetic and Evolutionary Computation Conference, 2007

Probabilistic model-building genetic algorithms.
Proceedings of the Genetic and Evolutionary Computation Conference, 2007

Analyzing probabilistic models in hierarchical BOA on traps and spin glasses.
Proceedings of the Genetic and Evolutionary Computation Conference, 2007

Influence of selection and replacement strategies on linkage learning in BOA.
Proceedings of the IEEE Congress on Evolutionary Computation, 2007

2006
Efficiency Enhancement of Estimation of Distribution Algorithms.
Proceedings of the Scalable Optimization via Probabilistic Modeling, 2006

Multiobjective Estimation of Distribution Algorithms.
Proceedings of the Scalable Optimization via Probabilistic Modeling, 2006

Introduction.
Proceedings of the Scalable Optimization via Probabilistic Modeling, 2006

Searching for Ground States of Ising Spin Glasses with Hierarchical BOA and Cluster Exact Approximation.
Proceedings of the Scalable Optimization via Probabilistic Modeling, 2006

Hierarchical Bayesian Optimization Algorithm.
Proceedings of the Scalable Optimization via Probabilistic Modeling, 2006

Design of Parallel Estimation of Distribution Algorithms.
Proceedings of the Scalable Optimization via Probabilistic Modeling, 2006

Effective and Reliable Online Classification Combining XCS with EDA Mechanisms.
Proceedings of the Scalable Optimization via Probabilistic Modeling, 2006

Edge histogram based sampling with local search for solving permutation problems.
Int. J. Hybrid Intell. Syst., 2006

Automated Global Structure Extraction for Effective Local Building Block Processing in XCS.
Evolutionary Computation, 2006

Performance of Evolutionary Algorithms on Random Decomposable Problems.
Proceedings of the Parallel Problem Solving from Nature, 2006

Hierarchical BOA, Cluster Exact Approximation, and Ising Spin Glasses.
Proceedings of the Parallel Problem Solving from Nature, 2006

Substructural Neighborhoods for Local Search in the Bayesian Optimization Algorithm.
Proceedings of the Parallel Problem Solving from Nature, 2006

Sporadic model building for efficiency enhancement of hierarchical BOA.
Proceedings of the Genetic and Evolutionary Computation Conference, 2006

Hierarchical BOA on random decomposable problems.
Proceedings of the Genetic and Evolutionary Computation Conference, 2006

Studying XCS/BOA learning in Boolean functions: structure encoding and random Boolean functions.
Proceedings of the Genetic and Evolutionary Computation Conference, 2006

2005
Decomposable Problems, Niching, and Scalability of Multiobjective Estimation of Distribution Algorithms
CoRR, 2005

Multiobjective hBOA, Clustering, and Scalability
CoRR, 2005

Scalability of Genetic Programming and Probabilistic Incremental Program Evolution
CoRR, 2005

Multiobjective hBOA, clustering, and scalability.
Proceedings of the Genetic and Evolutionary Computation Conference, 2005

Scalability of genetic programming and probabilistic incremental program evolution.
Proceedings of the Genetic and Evolutionary Computation Conference, 2005

Extracted global structure makes local building block processing effective in XCS.
Proceedings of the Genetic and Evolutionary Computation Conference, 2005

Performance of aggregation pheromone system on unimodal and multimodal problems.
Proceedings of the IEEE Congress on Evolutionary Computation, 2005

Limits of scalability of multiobjective estimation of distribution algorithms.
Proceedings of the IEEE Congress on Evolutionary Computation, 2005

Hierarchical Bayesian Optimization Algorithm - Toward a new Generation of Evolutionary Algorithms
Studies in Fuzziness and Soft Computing 170, Springer, ISBN: 978-3-540-23774-7, 2005

2004
Parallel Mixed Bayesian Optimization Algorithm: A Scaleup Analysis
CoRR, 2004

Efficiency Enhancement of Genetic Algorithms via Building-Block-Wise Fitness Estimation
CoRR, 2004

Efficiency Enhancement of Probabilistic Model Building Genetic Algorithms
CoRR, 2004

Fitness inheritance in the Bayesian optimization algorithm
CoRR, 2004

Parameter-less hierarchical BOA
CoRR, 2004

Computational complexity and simulation of rare events of Ising spin glasses
CoRR, 2004

Fitness Inheritance in the Bayesian Optimization Algorithm.
Proceedings of the Genetic and Evolutionary Computation, 2004

Computational Complexity and Simulation of Rare Events of Ising Spin Glasses.
Proceedings of the Genetic and Evolutionary Computation, 2004

Parameter-Less Hierarchical BOA.
Proceedings of the Genetic and Evolutionary Computation, 2004

Efficiency enhancement of genetic algorithms via building-block-wise fitness estimation.
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.
Inf. Sci., 2003

A hierarchy machine: Learning to optimize from nature and humans.
Complexity, 2003

Hierarchical BOA Solves Ising Spin Glasses and MAXSAT.
Proceedings of the Genetic and Evolutionary Computation, 2003

Design of Multithreaded Estimation of Distribution Algorithms.
Proceedings of the Genetic and Evolutionary Computation, 2003

2002
Scalability of the Bayesian optimization algorithm.
Int. J. Approx. Reasoning, 2002

A Survey of Optimization by Building and Using Probabilistic Models.
Comp. Opt. and Appl., 2002

Combining The Strengths Of Bayesian Optimization Algorithm And Adaptive Evolution Strategies.
Proceedings of the GECCO 2002: Proceedings of the Genetic and Evolutionary Computation Conference, 2002

Multiple-objective Bayesian Optimization Algorithm.
Proceedings of the GECCO 2002: Proceedings of the Genetic and Evolutionary Computation Conference, 2002

2000
Linkage Problem, Distribution Estimation, and Bayesian Networks.
Evolutionary Computation, 2000

Genetic Algorithms, Clustering, and the Breaking of Symmetry.
Proceedings of the Parallel Problem Solving from Nature, 2000

Parameter-less Genetic Algorithm: A Worst-case Time and Space Complexity Analysis.
Proceedings of the Genetic and Evolutionary Computation Conference (GECCO '00), 2000

Bayesian Optimization Algorithm, Population Sizing, and Time to Convergence.
Proceedings of the Genetic and Evolutionary Computation Conference (GECCO '00), 2000

Hierarchical Problem Solving and the Bayesian Optimization Algorithm.
Proceedings of the Genetic and Evolutionary Computation Conference (GECCO '00), 2000

Time Complexity of genetic algorithms on exponentially scaled problems.
Proceedings of the Genetic and Evolutionary Computation Conference (GECCO '00), 2000


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