Martin Pelikan

发表

Fitness Inheritance in the Bayesian Optimization Algorithm

Martin Pelikan, Kumara Sastry, M. Pelikán, 2004, GECCO.

From mating pool distributions to model overfitting

Martin Pelikan, Cláudio F. Lima, Fernando G. Lobo, 2008, GECCO '08.

Sporadic model building for efficiency enhancement of hierarchical BOA

David E. Goldberg, Martin Pelikan, Kumara Sastry, 2006, GECCO '06.

A Simple Implementation of the Bayesian Optimization Algorithm (BOA) in C++ (version 1.0)

Martin Pelikan, 1999 .

Detection of Resource Overload in Conditions of Project Ambiguity

Martin Pelikan, Hana Stiková, Ivan Vrana, 2017, IEEE Trans. Fuzzy Syst..

Limits of scalability of multiobjective estimation of distribution algorithms

David E. Goldberg, Martin Pelikan, Kumara Sastry, 2005, 2005 IEEE Congress on Evolutionary Computation.

Effects of a deterministic hill climber on hBOA

David E. Goldberg, Martin Pelikan, Elizabeth Radetic, 2009, GECCO.

Parameter-less Hierarchical Bayesian Optimization Algorithm

Martin Pelikan, Alexander K. Hartmann, Tz-Kai Lin, 2007, Parameter Setting in Evolutionary Algorithms.

Extracted global structure makes local building block processing effective in XCS

Martin V. Butz, Xavier Llorà, David E. Goldberg, 2005, GECCO '05.

Design of Multithreaded Estimation of Distribution Algorithms

Martin Pelikan, Jiri Ocenasek, Josef Schwarz, 2003, GECCO.

Genetic and Evolutionary Computation Conference, GECCO 2010, Proceedings, Portland, Oregon, USA, July 7-11, 2010, Companion Material

Martin Pelikan, Jrgen Branke, M. Pelikán, 2010, GECCO.

The Challenge of Hierarchical Difficulty

Martin Pelikan, M. Pelikán, 2005 .

Evaluation-Relaxation Schemes for Genetic and Evolutionary Algorithms

Franz Rothlauf, Martin Pelikan, Kumara Sastry, 2004 .

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

Martin Pelikan, John A. W. McCall, Alexander E. I. Brownlee, 2008, GECCO '08.

Design of Parallel Estimation of Distribution Algorithms

Martin Pelikan, Erick Cantú-Paz, Jiri Ocenasek, 2006, Scalable Optimization via Probabilistic Modeling.

Probabilistic model-building genetic algorithms

Martin Pelikan, 2008, GECCO.

Spurious dependencies and EDA scalability

Martin Pelikan, Elizabeth Radetic, M. Pelikán, 2010, GECCO '10.

Initial-population bias in the univariate estimation of distribution algorithm

Martin Pelikan, Kumara Sastry, M. Pelikán, 2009, GECCO.

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

David E. Goldberg, Martin Pelikan, Kumara Sastry, 2005, ArXiv.

Hierarchical BOA in the Real World

Martin Pelikan, 2005 .

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

Martin Pelikan, Helmut G. Katzgraber, M. Pelikán, 2009, GECCO.

Performance of Evolutionary Algorithms on Random Decomposable Problems

Martin V. Butz, David E. Goldberg, Martin Pelikan, 2006, PPSN.

Influence of selection and replacement strategies on linkage learning in BOA

David E. Goldberg, Martin Pelikan, Kumara Sastry, 2007, 2007 IEEE Congress on Evolutionary Computation.

Hierarchical BOA on random decomposable problems

Martin V. Butz, David E. Goldberg, Martin Pelikan, 2006, GECCO '06.

iBOA: the incremental bayesian optimization algorithm

David E. Goldberg, Martin Pelikan, Kumara Sastry, 2008, GECCO '08.

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

David E. Goldberg, Martin Pelikan, Shigeyoshi Tsutsui, 2003, Inf. Sci..

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

Martin Pelikan, Alexander K. Hartmann, M. Pelikán, 2007, GECCO '07.

From Genetic Variation to Probabilistic Modeling

Martin Pelikan, M. Pelikán, 2005 .

A Survey of Optimization by Building and Using Probabilistic Models

David E. Goldberg, Martin Pelikan, Fernando G. Lobo, 2002, Comput. Optim. Appl..

Scalable Optimization via Probabilistic Modeling

Martin Pelikan, Kumara Sastry, Erick Cantú-Paz, 2006, Studies in Computational Intelligence.

Scalability of the Bayesian optimization algorithm

David E. Goldberg, Martin Pelikan, Kumara Sastry, 2002, Int. J. Approx. Reason..

NK landscapes, problem difficulty, and hybrid evolutionary algorithms

Martin Pelikan, 2010, GECCO '10.

Network crossover performance on NK landscapes and deceptive problems

Martin Pelikan, Mark Hauschild, M. Pelikán, 2010, GECCO '10.

Linkage Problem, Distribution Estimation, and Bayesian Networks

David E. Goldberg, Martin Pelikan, Erick Cantú-Paz, 2000, Evolutionary Computation.

Empirical analysis of ideal recombination on random decomposable problems

David E. Goldberg, Martin Pelikan, Kumara Sastry, 2007, GECCO '07.

Hierarchical BOA, Cluster Exact Approximation, and Ising Spin Glasses

Martin Pelikan, Kumara Sastry, Alexander K. Hartmann, 2006, PPSN.

A C++ Implementation of the Bayesian Optimization Algorithm (BOA) with Decision Graphs

Martin Pelikan, 2000 .

Performance of Network Crossover on NK Landscapes and Spin Glasses

Martin Pelikan, Mark Hauschild, M. Pelikán, 2010, PPSN.

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

David E. Goldberg, Martin Pelikan, Kumara Sastry, 2007, GECCO '07.

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

David E. Goldberg, Martin Pelikan, Kumara Sastry, 2004, Proceedings of the 2004 Congress on Evolutionary Computation (IEEE Cat. No.04TH8753).

Loopy Substructural Local Search for the Bayesian Optimization Algorithm

David E. Goldberg, Martin Pelikan, Cláudio F. Lima, 2009, SLS.

Multiple-objective Bayesian Optimization Algorithm

David E. Goldberg, Martin Pelikan, Nazan Khan, 2002, GECCO.

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

Martin Pelikan, 2008, GECCO '08.

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

Dirk Thierens, Martin Pelikan, Mark Hauschild, 2011, GECCO '11.

Data Modeling for Precision Agriculture

Martin Pelikan, Václav Vostrovský, Jan Tyrychtr, 2015, CSOC.

Enhancing Efficiency of Hierarchical BOA Via Distance-Based Model Restrictions

Martin Pelikan, Mark Hauschild, M. Pelikán, 2008, PPSN.

Using Previous Models to Bias Structural Learning in the Hierarchical BOA

David E. Goldberg, Martin Pelikan, Kumara Sastry, 2012, Evolutionary Computation.

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

Martin V. Butz, David E. Goldberg, Martin Pelikan, 2009, GECCO '09.

Genetic and Evolutionary Computation Conference, GECCO 2010, Proceedings, Portland, Oregon, USA, July 7-11, 2010

Martin Pelikan, Jrgen Branke, M. Pelikán, 2010, GECCO.

EM-OLAP Framework

Martin Pelikan, Hana Stiková, Ivan Vrana, 2018, Bus. Inf. Syst. Eng..

Hierarchical Bayesian Optimization Algorithm

David E. Goldberg, Martin Pelikan, D. Goldberg, 2006, Scalable Optimization via Probabilistic Modeling.

Substructural Neighborhoods for Local Search in the Bayesian Optimization Algorithm

Martin V. Butz, David E. Goldberg, Martin Pelikan, 2006, PPSN.

Dependency trees, permutations, and quadratic assignment problem

Martin Pelikan, Shigeyoshi Tsutsui, Rajiv Kalapala, 2007, GECCO '07.

Parallel Mixed Bayesian Optimization Algorithm: A Scaleup Analysis

Martin Pelikan, Jiri Ocenasek, 2004, ArXiv.

GECCO 2007: Genetic and Evolutionary Computation Conference

Thomas Stützle, Riccardo Poli, Mauro Birattari, 2007 .

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

Martin Pelikan, Alexander K. Hartmann, M. Pelikán, 2006, Scalable Optimization via Probabilistic Modeling.

Image segmentation using a genetic algorithm and hierarchical local search

Martin Pelikan, Mark Hauschild, Sanjiv Bhatia, 2012, GECCO '12.

Efficiency Enhancement of Probabilistic Model Building Genetic Algorithms

David E. Goldberg, Martin Pelikan, Kumara Sastry, 2004, ArXiv.

Dependency Structure Matrix, Genetic Algorithms, and Effective Recombination

David E. Goldberg, Martin Pelikan, Kumara Sastry, 2009, Evolutionary Computation.

Marginal Distributions in Evolutionary Algorithms

Martin Pelikan, Heinz Muehlenbein, M. Pelikán, 2007 .

Factor graph based factorization distribution algorithm

Martin Pelikan, Adel Torkaman Rahmani, B. Hoda Helmi, 2013, GECCO.

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

Martin Pelikan, Pier Luca Lanzi, Mark W. Hauschild, 2012, PPSN.

Bayesian Optimization Algorithm, Population Sizing, and Time to Convergence

David E. Goldberg, Martin Pelikan, Erick Cantú-Paz, 2000, GECCO.

Combining The Strengths Of Bayesian Optimization Algorithm And Adaptive Evolution Strategies

David E. Goldberg, Martin Pelikan, Shigeyoshi Tsutsui, 2002, GECCO.

Hierarchical Bayesian optimization algorithm: toward a new generation of evolutionary algorithms

Martin Pelikan, M. Pelikán, David E. Goldberg, 2010, SICE 2003 Annual Conference (IEEE Cat. No.03TH8734).

Probabilistic model-building genetic algorithms

Martin Pelikan, 2010, GECCO.

Scalability of genetic programming and probabilistic incremental program evolution pdf

Martin Pelikan, Kumara Sastry, Radovan Ondas, 2005, GECCO '05.

Hybrid evolutionary algorithms on minimum vertex cover for random graphs

Martin Pelikan, Alexander K. Hartmann, Rajiv Kalapala, 2007, GECCO '07.

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

Martin V. Butz, Xavier Llorà, David E. Goldberg, 2006, Evolutionary Computation.

Genetic Algorithms, Clustering, and the Breaking of Symmetry

David E. Goldberg, Martin Pelikan, D. Goldberg, 2000, PPSN.

Bayesian Optimization Algorithm: From Single Level to Hierarchy

David E. Goldberg, Martin Pelikan, D. Goldberg, 2002 .

Designing smart manufacturing workplace utilizing fuzzy screening approach

Martin Pelikan, Shady Aly, Ivan Vrana, 2017, 2017 4th International Conference on Systems and Informatics (ICSAI).

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

Martin Pelikan, M. Pelikán, 2011, GECCO '11.

Bayesian optimization algorithm, decision graphs, and Occam's razor

David E. Goldberg, Martin Pelikan, Kumara Sastry, 2001 .

Parameter-Less Hierarchical BOA

Martin Pelikan, Tz-Kai Lin, M. Pelikán, 2004, GECCO.

Linkage learning using the maximum spanning tree of the dependency graph

Martin Pelikan, Adel Torkaman Rahmani, B. Hoda Helmi, 2012, GECCO '12.

Probabilistic model-building genetic algorithms

Martin Pelikan, 2012, GECCO.

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

Martin Pelikan, John A. W. McCall, Alexander E. I. Brownlee, 2012, GECCO '12.

Probabilistic model-building genetic algorithms

Martin Pelikan, 2007, GECCO '07.

Model accuracy in the Bayesian optimization algorithm

David E. Goldberg, Martin Pelikan, Cláudio F. Lima, 2011, Soft Comput..

Multi-objective bayesian optimization algorithm

David E. Goldberg, Martin Pelikan, Nazan Khan, 2002 .

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

Martin Pelikan, James D. Laury, M. Pelikán, 2007, GECCO '07.

Using Previous Models to Bias Structural Learning in the Hierarchical BOA

David E. Goldberg, Martin Pelikan, Kumara Sastry, 2008, Evolutionary Computation.

Multiobjective Estimation of Distribution Algorithms

David E. Goldberg, Martin Pelikan, Kumara Sastry, 2006, Scalable Optimization via Probabilistic Modeling.

Hill Climbing with Learning (An Abstraction of Genetic Algorithm)

Martin Pelikan, Jiri Pospichal, Vladimír Kvasnička, 1995 .

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

Martin Pelikan, Fernando G. Lobo, 2000, GECCO.

Probabilistic model-building genetic algorithms

Martin Pelikan, M. Pelikán, 2011 .

An introduction and survey of estimation of distribution algorithms

Martin Pelikan, Mark Hauschild, M. Pelikán, 2011, Swarm Evol. Comput..

A novel methodology for designing smart workplace environments utilizing fuzzy relations

Martin Pelikan, Shady Aly, Ivan Vrana, 2018, J. Ambient Intell. Smart Environ..

Scalable Optimization via Probabilistic Modeling: From Algorithms to Applications (Studies in Computational Intelligence)

Martin Pelikan, Kumara Sastry, Erick Cantú-Paz, 2006 .

Bayesian Optimization Algorithm

Martin Pelikan, M. Pelikán, 2005 .

Hierarchical BOA Solves Ising Spin Glasses and MAXSAT

David E. Goldberg, Martin Pelikan, D. Goldberg, 2003, GECCO.

Genetic Programming, Probabilistic Incremental Program Evolution, and Scalability

Martin Pelikan, Kumara Sastry, Radovan Ondas, 2006 .

Edge histogram based sampling with local search for solving permutation problems

Martin Pelikan, Shigeyoshi Tsutsui, Ashish Ghosh, 2006, Int. J. Hybrid Intell. Syst..

Probabilistic model-building genetic algorithms

Martin Pelikan, 2009, GECCO.

Intelligent bias of network structures in the hierarchical BOA

Martin Pelikan, Mark Hauschild, M. Pelikán, 2009, GECCO.

Performance of aggregation pheromone system on unimodal and multimodal problems

Martin Pelikan, Shigeyoshi Tsutsui, Ashish Ghosh, 2005, 2005 IEEE Congress on Evolutionary Computation.

Efficiency Enhancement of Estimation of Distribution Algorithms

David E. Goldberg, Martin Pelikan, Kumara Sastry, 2006, Scalable Optimization via Probabilistic Modeling.

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

Martin V. Butz, Martin Pelikan, 2006, GECCO '06.

Sporadic model building for efficiency enhancement of hierarchical BOA

David E. Goldberg, Martin Pelikan, Kumara Sastry, 2006, GECCO.

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

Martin Pelikan, Shady Aly, Ivan Vrana, 2014, J. Ambient Intell. Smart Environ..

Time Complexity of genetic algorithms on exponentially scaled problems

David E. Goldberg, Martin Pelikan, Fernando G. Lobo, 2000, GECCO.

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

Martin Pelikan, Hana Stiková, Ivan Vrana, 2016, CSOC.

Analyzing probabilistic models in hierarchical BOA on traps and spin glasses

Martin Pelikan, Kumara Sastry, Cláudio F. Lima, 2007, GECCO '07.

Analyzing Probabilistic Models in Hierarchical BOA

Martin Pelikan, Kumara Sastry, Cláudio F. Lima, 2009, IEEE Transactions on Evolutionary Computation.

Estimation of Distribution Algorithms

Martin Pelikan, Fernando G. Lobo, Mark Hauschild, 2015, Handbook of Computational Intelligence.

Hierarchical Problem Solving and the Bayesian Optimization Algorithm

David E. Goldberg, Martin Pelikan, D. Goldberg, 2000, GECCO.

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

Martin Pelikan, Helmut G. Katzgraber, Sigismund Kobe, 2008, GECCO '08.

A factor graph based genetic algorithm

Martin Pelikan, Adel Torkaman Rahmani, B. Hoda Helmi, 2014, Int. J. Appl. Math. Comput. Sci..

Computational Complexity and Simulation of Rare Events of Ising Spin Glasses

Martin Pelikan, Jiri Ocenasek, Matthias Troyer, 2004, GECCO.

Advanced neighborhoods and problem difficulty measures

Martin Pelikan, Mark Hauschild, 2011, GECCO '11.

Multiobjective hBOA, clustering, and scalability

David E. Goldberg, Martin Pelikan, Kumara Sastry, 2005, GECCO '05.

Linkage Learning Accuracy in the Bayesian Optimization Algorithm

David E. Goldberg, Martin Pelikan, Kumara Sastry, 2008, Linkage in Evolutionary Computation.

Effective and Reliable Online Classification Combining XCS with EDA Mechanisms

Martin V. Butz, Xavier Llorà, David E. Goldberg, 2006, Scalable Optimization via Probabilistic Modeling.

A hierarchy machine: Learning to optimize from nature and humans

David E. Goldberg, Martin Pelikan, D. Goldberg, 2003, Complex..

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

Martin Pelikan, Mark Hauschild, M. Pelikán, 2012, GECCO '12.

Ku and DNA-dependent Protein Kinase Dynamic Conformations and Assembly Regulate DNA Binding and the Initial Non-homologous End Joining Complex*

Martin Pelikan, John A. Tainer, Greg L. Hura, 2009, The Journal of Biological Chemistry.

Solving Sequence Problems by Building and Sampling Edge Histograms

David E. Goldberg, Martin Pelikan, Shigeyoshi Tsutsui, 2002 .

c AS : The Cunning Ant System Solving the traveling salesman problem and the quadratic assignment problem using the cunning ant system

Martin Pelikan, Shigeyoshi Tsutsui, M. Pelikán, 2007 .

Database independent detection of isotopically labeled MS/MS spectrum peptide pairs.

Martin Pelikan, Jiri Ocenasek, Ralph Schlapbach, 2005, Journal of chromatography. B, Analytical technologies in the biomedical and life sciences.

Node Histogram vs . Edge Histogram : A Comparison of PMBGAs in Permutation Domains

David E. Goldberg, Martin Pelikan, Shigeyoshi Tsutsui, 2006 .