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Martin Pelikan
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Books and Theses
- 2005
- [b2]Martin Pelikan:
Hierarchical Bayesian Optimization Algorithm - Toward a new Generation of Evolutionary Algorithms. Studies in Fuzziness and Soft Computing 170, Springer 2005, ISBN 978-3-540-23774-7, pp. 1-149 [contents] - 2002
- [b1]Martin Pelikan:
Bayesian Optimization Algorithm: From Single Level to Hierarchy. University of Illinois Urbana-Champaign, USA, 2002
Journal Articles
- 2021
- [j20]Ivan Vrana
, Jan Tyrychtr
, Martin Pelikán
:
BeCoMe: Easy-to-implement optimized method for best-compromise group decision making: Flood-prevention and COVID-19 case studies. Environ. Model. Softw. 136: 104953 (2021) - 2018
- [j19]Jan Tyrychtr
, Martin Pelikan
, Hana Stiková, Ivan Vrana
:
EM-OLAP Framework - Econometric Model Transformation Method for OLAP Design in Intelligence Systems. Bus. Inf. Syst. Eng. 60(6): 543-562 (2018) - [j18]Shady Aly
, Martin Pelikan
, Ivan Vrana
:
A novel methodology for designing smart workplace environments utilizing fuzzy relations. J. Ambient Intell. Smart Environ. 10(2): 169-193 (2018) - [j17]Martin Pelikan, Hana Stiková, Ivan Vrana
:
Correction to "Detection of Resource Overload in Conditions of Project Ambiguity". IEEE Trans. Fuzzy Syst. 26(3): 1769 (2018) - 2017
- [j16]Martin Pelikan
, Hana Stiková, Ivan Vrana
:
Detection of Resource Overload in Conditions of Project Ambiguity. IEEE Trans. Fuzzy Syst. 25(4): 868-877 (2017) - 2014
- [j15]B. Hoda Helmi, Adel Torkaman Rahmani, Martin Pelikan
:
A factor graph based genetic algorithm. Int. J. Appl. Math. Comput. Sci. 24(3): 621-633 (2014) - [j14]Shady Aly
, Martin Pelikan
, Ivan Vrana
:
A generalized model for quantifying the impact of Ambient Intelligence on smart workplaces: Applications in manufacturing. J. Ambient Intell. Smart Environ. 6(6): 651-673 (2014) - 2012
- [j13]Mark Hauschild, Martin Pelikan
, Kumara Sastry, David E. Goldberg:
Using Previous Models to Bias Structural Learning in the Hierarchical BOA. Evol. Comput. 20(1): 135-160 (2012) - 2011
- [j12]Cláudio F. Lima, Fernando G. Lobo
, Martin Pelikan
, David E. Goldberg:
Model accuracy in the Bayesian optimization algorithm. Soft Comput. 15(7): 1351-1371 (2011) - [j11]Mark Hauschild, Martin Pelikan
:
An introduction and survey of estimation of distribution algorithms. Swarm Evol. Comput. 1(3): 111-128 (2011) - 2009
- [j10]Tian-Li Yu, David E. Goldberg, Kumara Sastry, Cláudio F. Lima, Martin Pelikan
:
Dependency Structure Matrix, Genetic Algorithms, and Effective Recombination. Evol. Comput. 17(4): 595-626 (2009) - [j9]Mark Hauschild, Martin Pelikan
, Kumara Sastry, Cláudio F. Lima:
Analyzing Probabilistic Models in Hierarchical BOA. IEEE Trans. Evol. Comput. 13(6): 1199-1217 (2009) - 2008
- [j8]Martin Pelikan
, Kumara Sastry, David E. Goldberg:
Sporadic model building for efficiency enhancement of the hierarchical BOA. Genet. Program. Evolvable Mach. 9(1): 53-84 (2008) - 2006
- [j7]Martin V. Butz, Martin Pelikan
, Xavier Llorà, David E. Goldberg:
Automated Global Structure Extraction for Effective Local Building Block Processing in XCS. Evol. Comput. 14(3): 345-380 (2006) - [j6]Shigeyoshi Tsutsui, Martin Pelikan, Ashish Ghosh:
Edge histogram based sampling with local search for solving permutation problems. Int. J. Hybrid Intell. Syst. 3(1): 11-22 (2006) - 2003
- [j5]Martin Pelikan
, David E. Goldberg:
A hierarchy machine: Learning to optimize from nature and humans. Complex. 8(5): 36-45 (2003) - [j4]Martin Pelikan
, David E. Goldberg, Shigeyoshi Tsutsui:
Getting the best of both worlds: Discrete and continuous genetic and evolutionary algorithms in concert. Inf. Sci. 156(3-4): 147-171 (2003) - 2002
- [j3]Martin Pelikan
, David E. Goldberg, Fernando G. Lobo
:
A Survey of Optimization by Building and Using Probabilistic Models. Comput. Optim. Appl. 21(1): 5-20 (2002) - [j2]Martin Pelikan
, Kumara Sastry, David E. Goldberg:
Scalability of the Bayesian optimization algorithm. Int. J. Approx. Reason. 31(3): 221-258 (2002) - 2000
- [j1]Martin Pelikan
, David E. Goldberg, Erick Cantú-Paz:
Linkage Problem, Distribution Estimation, and Bayesian Networks. Evol. Comput. 8(3): 311-340 (2000)
Conference and Workshop Papers
- 2023
- [c71]Sheikh Shams Azam, Tatiana Likhomanenko, Martin Pelikan, Jan Honza Silovsky:
Importance of Smoothness Induced by Optimizers in Fl4Asr: Towards Understanding Federated Learning for End-To-End ASR. ASRU 2023: 1-8 - 2019
- [c70]Jan Tyrychtr
, Martin Pelikán
, Ivan Vrana
:
Software Algorithm of EM-OLAP Tool: Design of OLAP Database for Econometric Application. CSOC (1) 2019: 351-359 - [c69]Sai Teja Peddinti, Igor Bilogrevic, Nina Taft, Martin Pelikan, Úlfar Erlingsson, Pauline Anthonysamy, Giles Hogben:
Reducing Permission Requests in Mobile Apps. Internet Measurement Conference 2019: 259-266 - 2017
- [c68]Shady Aly
, Martin Pelikan, Ivan Vrana
:
Designing smart manufacturing workplace utilizing fuzzy screening approach. ICSAI 2017: 616-621 - 2016
- [c67]Jan Tyrychtr
, Martin Pelikan
, Hana Stiková, Ivan Vrana
:
Multidimensional Design of OLAP System for Context-Aware Analysis in the Ambient Intelligence Environment. CSOC (2) 2016: 283-292 - 2015
- [c66]Jan Tyrychtr
, Václav Vostrovský
, Martin Pelikan
:
Data Modeling for Precision Agriculture. CSOC (2) 2015: 97-106 - 2013
- [c65]B. Hoda Helmi, Adel Torkaman Rahmani, Martin Pelikan
:
Factor graph based factorization distribution algorithm. GECCO (Companion) 2013: 55-56 - 2012
- [c64]Alexander E. I. Brownlee
, John A. W. McCall
, Martin Pelikan
:
Influence of selection on structure learning in markov network EDAs: an empirical study. GECCO 2012: 249-256 - [c63]Martin Pelikan
, Mark Hauschild:
Distance-based bias in model-directed optimization of additively decomposable problems. GECCO 2012: 273-280 - [c62]Mark Hauschild, Sanjiv K. Bhatia, Martin Pelikan
:
Image segmentation using a genetic algorithm and hierarchical local search. GECCO 2012: 633-640 - [c61]Martin Pelikan
:
Probabilistic model-building genetic algorithms. GECCO (Companion) 2012: 777-804 - [c60]B. Hoda Helmi, Martin Pelikan
, Adel Torkaman Rahmani:
Linkage learning using the maximum spanning tree of the dependency graph. GECCO (Companion) 2012: 1429-1430 - [c59]Martin Pelikan
, Mark Hauschild, Pier Luca Lanzi
:
Transfer Learning, Soft Distance-Based Bias, and the Hierarchical BOA. PPSN (1) 2012: 173-183 - 2011
- [c58]Mark Hauschild, Martin Pelikan
:
Advanced neighborhoods and problem difficulty measures. GECCO 2011: 625-632 - [c57]Martin Pelikan
:
Probabilistic model-building genetic algorithms. GECCO (Companion) 2011: 913-940 - [c56]Martin Pelikan
, Mark Hauschild, Dirk Thierens:
Pairwise and problem-specific distance metrics in the linkage tree genetic algorithm. GECCO 2011: 1005-1012 - [c55]Martin Pelikan
:
Analysis of epistasis correlation on NK landscapes with nearest-neighbor interactions. GECCO 2011: 1013-1020 - 2010
- [c54]Elizabeth Radetic, Martin Pelikan
:
Spurious dependencies and EDA scalability. GECCO 2010: 303-310 - [c53]Martin Pelikan
:
NK landscapes, problem difficulty, and hybrid evolutionary algorithms. GECCO 2010: 665-672 - [c52]Mark Hauschild, Martin Pelikan
:
Network crossover performance on NK landscapes and deceptive problems. GECCO 2010: 713-720 - [c51]Martin Pelikan
:
Probabilistic model-building genetic algorithms. GECCO (Companion) 2010: 2303-2330 - [c50]Mark Hauschild, Martin Pelikan
:
Performance of Network Crossover on NK Landscapes and Spin Glasses. PPSN (2) 2010: 462-471 - 2009
- [c49]Mark Hauschild, Martin Pelikan
:
Intelligent bias of network structures in the hierarchical BOA. GECCO 2009: 413-420 - [c48]Martin Pelikan
, Kumara Sastry:
Initial-population bias in the univariate estimation of distribution algorithm. GECCO 2009: 429-436 - [c47]Elizabeth Radetic, Martin Pelikan
, David E. Goldberg:
Effects of a deterministic hill climber on hBOA. GECCO 2009: 437-444 - [c46]Martin Pelikan
, Helmut G. Katzgraber:
Analysis of evolutionary algorithms on the one-dimensional spin glass with power-law interactions. GECCO 2009: 843-850 - [c45]Martin Pelikan
, Kumara Sastry, David E. Goldberg, Martin V. Butz, Mark Hauschild:
Performance of evolutionary algorithms on NK landscapes with nearest neighbor interactions and tunable overlap. GECCO 2009: 851-858 - [c44]Martin Pelikan
:
Probabilistic model-building genetic algorithms. GECCO (Companion) 2009: 2879-2906 - [c43]Cláudio F. Lima, Martin Pelikan
, Fernando G. Lobo
, David E. Goldberg:
Loopy Substructural Local Search for the Bayesian Optimization Algorithm. SLS 2009: 61-75 - 2008
- [c42]Mark Hauschild, Martin Pelikan
, Kumara Sastry, David E. Goldberg:
Using previous models to bias structural learning in the hierarchical BOA. GECCO 2008: 415-422 - [c41]Cláudio F. Lima, Fernando G. Lobo
, Martin Pelikan
:
From mating pool distributions to model overfitting. GECCO 2008: 431-438 - [c40]Martin Pelikan
, Helmut G. Katzgraber, Sigismund Kobe:
Finding ground states of Sherrington-Kirkpatrick spin glasses with hierarchical boa and genetic algorithms. GECCO 2008: 447-454 - [c39]Martin Pelikan, Kumara Sastry, David E. Goldberg:
iBOA: the incremental bayesian optimization algorithm. GECCO 2008: 455-462 - [c38]Alexander E. I. Brownlee, Martin Pelikan
, John A. W. McCall, Andrei Petrovski
:
An application of a multivariate estimation of distribution algorithm to cancer chemotherapy. GECCO 2008: 463-464 - [c37]Martin Pelikan
:
Analysis of estimation of distribution algorithms and genetic algorithms on NK landscapes. GECCO 2008: 1033-1040 - [c36]Martin Pelikan
:
Probabilistic model-building genetic algorithms. GECCO (Companion) 2008: 2389-2416 - [c35]Mark Hauschild, Martin Pelikan
:
Enhancing Efficiency of Hierarchical BOA Via Distance-Based Model Restrictions. PPSN 2008: 417-427 - 2007
- [c34]Cláudio F. Lima, Martin Pelikan
, David E. Goldberg, Fernando G. Lobo
, Kumara Sastry, Mark Hauschild:
Influence of selection and replacement strategies on linkage learning in BOA. IEEE Congress on Evolutionary Computation 2007: 1083-1090 - [c33]Mark Hauschild, Martin Pelikan
, Cláudio F. Lima, Kumara Sastry:
Analyzing probabilistic models in hierarchical BOA on traps and spin glasses. GECCO 2007: 523-530 - [c32]Martin Pelikan
, Rajiv Kalapala, Alexander K. Hartmann:
Hybrid evolutionary algorithms on minimum vertex cover for random graphs. GECCO 2007: 547-554 - [c31]Martin Pelikan
, James D. Laury Jr.:
Order or not: does parallelization of model building in hBOA affect its scalability? GECCO 2007: 555-561 - [c30]Tian-Li Yu, Kumara Sastry, David E. Goldberg, Martin Pelikan
:
Population sizing for entropy-based model building in discrete estimation of distribution algorithms. GECCO 2007: 601-608 - [c29]Martin Pelikan
, Alexander K. Hartmann:
Obtaining ground states of ising spin glasses via optimizing bonds instead of spins. GECCO 2007: 628 - [c28]Martin Pelikan
, Shigeyoshi Tsutsui, Rajiv Kalapala:
Dependency trees, permutations, and quadratic assignment problem. GECCO 2007: 629 - [c27]Kumara Sastry, Martin Pelikan
, David E. Goldberg:
Empirical analysis of ideal recombination on random decomposable problems. GECCO 2007: 1388-1395 - [c26]Martin Pelikan
:
Probabilistic model-building genetic algorithms. GECCO (Companion) 2007: 3537-3562 - 2006
- [c25]Martin Pelikan
, Kumara Sastry, David E. Goldberg:
Sporadic model building for efficiency enhancement of hierarchical BOA. GECCO 2006: 405-412 - [c24]Martin Pelikan
, Kumara Sastry, Martin V. Butz
, David E. Goldberg:
Hierarchical BOA on random decomposable problems. GECCO 2006: 431-432 - [c23]Martin V. Butz
, Martin Pelikan:
Studying XCS/BOA learning in Boolean functions: structure encoding and random Boolean functions. GECCO 2006: 1449-1456 - [c22]Martin Pelikan
, Alexander K. Hartmann, Kumara Sastry:
Hierarchical BOA, Cluster Exact Approximation, and Ising Spin Glasses. PPSN 2006: 122-131 - [c21]Cláudio F. Lima, Martin Pelikan
, Kumara Sastry, Martin V. Butz
, David E. Goldberg, Fernando G. Lobo:
Substructural Neighborhoods for Local Search in the Bayesian Optimization Algorithm. PPSN 2006: 232-241 - [c20]Martin Pelikan
, Kumara Sastry, Martin V. Butz, David E. Goldberg:
Performance of Evolutionary Algorithms on Random Decomposable Problems. PPSN 2006: 788-797 - 2005
- [c19]Shigeyoshi Tsutsui, Martin Pelikan, Ashish Ghosh:
Performance of aggregation pheromone system on unimodal and multimodal problems. Congress on Evolutionary Computation 2005: 880-887 - [c18]Kumara Sastry, David E. Goldberg, Martin Pelikan:
Limits of scalability of multiobjective estimation of distribution algorithms. Congress on Evolutionary Computation 2005: 2217-2224 - [c17]Martin V. Butz
, Martin Pelikan
, Xavier Llorà, David E. Goldberg:
Extracted global structure makes local building block processing effective in XCS. GECCO 2005: 655-662 - [c16]Martin Pelikan
, Kumara Sastry, David E. Goldberg:
Multiobjective hBOA, clustering, and scalability. GECCO 2005: 663-670 - [c15]Radovan Ondas, Martin Pelikan
, Kumara Sastry:
Scalability of genetic programming and probabilistic incremental program evolution. GECCO 2005: 1785-1786 - 2004
- [c14]Kumara Sastry, Martin Pelikan, David E. Goldberg:
Efficiency enhancement of genetic algorithms via building-block-wise fitness estimation. IEEE Congress on Evolutionary Computation 2004: 720-727 - [c13]Martin Pelikan
, Tz-Kai Lin:
Parameter-Less Hierarchical BOA. GECCO (2) 2004: 24-35 - [c12]Martin Pelikan
, Jiri Ocenasek, Simon Trebst, Matthias Troyer, Fabien Alet:
Computational Complexity and Simulation of Rare Events of Ising Spin Glasses. GECCO (2) 2004: 36-47 - [c11]Martin Pelikan
, Kumara Sastry:
Fitness Inheritance in the Bayesian Optimization Algorithm. GECCO (2) 2004: 48-59 - 2003
- [c10]Jiri Ocenasek, Josef Schwarz, Martin Pelikan
:
Design of Multithreaded Estimation of Distribution Algorithms. GECCO 2003: 1247-1258 - [c9]Martin Pelikan
, David E. Goldberg:
Hierarchical BOA Solves Ising Spin Glasses and MAXSAT. GECCO 2003: 1271-1282 - 2002
- [c8]Martin Pelikan, David E. Goldberg, Shigeyoshi Tsutsui:
Combining The Strengths Of Bayesian Optimization Algorithm And Adaptive Evolution Strategies. GECCO 2002: 512-519 - [c7]Nazan Khan, David E. Goldberg, Martin Pelikan:
Multiple-objective Bayesian Optimization Algorithm. GECCO 2002: 684 - 2000
- [c6]Martin Pelikan, David E. Goldberg, Fernando G. Lobo:
A survey of optimization by building and using probabilistic models. ACC 2000: 3289-3293 - [c5]Fernando G. Lobo, David E. Goldberg, Martin Pelikan:
Time Complexity of genetic algorithms on exponentially scaled problems. GECCO 2000: 151-158 - [c4]Martin Pelikan, David E. Goldberg:
Hierarchical Problem Solving and the Bayesian Optimization Algorithm. GECCO 2000: 267-274 - [c3]Martin Pelikan, David E. Goldberg, Erick Cantú-Paz:
Bayesian Optimization Algorithm, Population Sizing, and Time to Convergence. GECCO 2000: 275-282 - [c2]Martin Pelikan, Fernando G. Lobo:
Parameter-less Genetic Algorithm: A Worst-case Time and Space Complexity Analysis. GECCO 2000: 370 - [c1]Martin Pelikan
, David E. Goldberg:
Genetic Algorithms, Clustering, and the Breaking of Symmetry. PPSN 2000: 385-394
Parts in Books or Collections
- 2015
- [p10]Martin Pelikan
, Mark Hauschild, Fernando G. Lobo
:
Estimation of Distribution Algorithms. Handbook of Computational Intelligence 2015: 899-928 - 2008
- [p9]Cláudio F. Lima, Martin Pelikan
, David E. Goldberg, Fernando G. Lobo
, Kumara Sastry, Mark Hauschild:
Linkage Learning Accuracy in the Bayesian Optimization Algorithm. Linkage in Evolutionary Computation 2008: 87-107 - 2007
- [p8]Martin Pelikan
, Alexander K. Hartmann, Tz-Kai Lin:
Parameter-less Hierarchical Bayesian Optimization Algorithm. Parameter Setting in Evolutionary Algorithms 2007: 225-239 - 2006
- [p7]Martin Pelikan
, Kumara Sastry, Erick Cantú-Paz:
Introduction. Scalable Optimization via Probabilistic Modeling 2006: 1-10 - [p6]Martin Pelikan
, David E. Goldberg:
Hierarchical Bayesian Optimization Algorithm. Scalable Optimization via Probabilistic Modeling 2006: 63-90 - [p5]Kumara Sastry, Martin Pelikan
, David E. Goldberg:
Efficiency Enhancement of Estimation of Distribution Algorithms. Scalable Optimization via Probabilistic Modeling 2006: 161-185 - [p4]Jiri Ocenasek, Erick Cantú-Paz, Martin Pelikan
, Josef Schwarz:
Design of Parallel Estimation of Distribution Algorithms. Scalable Optimization via Probabilistic Modeling 2006: 187-203 - [p3]Martin Pelikan
, Kumara Sastry, David E. Goldberg:
Multiobjective Estimation of Distribution Algorithms. Scalable Optimization via Probabilistic Modeling 2006: 223-248 - [p2]Martin V. Butz, Martin Pelikan
, Xavier Llorà, David E. Goldberg:
Effective and Reliable Online Classification Combining XCS with EDA Mechanisms. Scalable Optimization via Probabilistic Modeling 2006: 249-273 - [p1]Martin Pelikan
, Alexander K. Hartmann:
Searching for Ground States of Ising Spin Glasses with Hierarchical BOA and Cluster Exact Approximation. Scalable Optimization via Probabilistic Modeling 2006: 333-349
Editorship
- 2010
- [e3]Martin Pelikan, Jürgen Branke:
Genetic and Evolutionary Computation Conference, GECCO 2010, Proceedings, Portland, Oregon, USA, July 7-11, 2010. ACM 2010, ISBN 978-1-4503-0072-8 [contents] - [e2]Martin Pelikan, Jürgen Branke:
Genetic and Evolutionary Computation Conference, GECCO 2010, Proceedings, Portland, Oregon, USA, July 7-11, 2010, Companion Material. ACM 2010, ISBN 978-1-4503-0073-5 [contents] - 2006
- [e1]Martin Pelikan, Kumara Sastry, Erick Cantú-Paz:
Scalable Optimization via Probabilistic Modeling. Studies in Computational Intelligence 33, Springer 2006, ISBN 978-3-540-34953-2 [contents]
Informal and Other Publications
- 2024
- [i18]Filip Granqvist, Congzheng Song, Áine Cahill, Rogier C. van Dalen, Martin Pelikan, Yi Sheng Chan, Xiaojun Feng, Natarajan Krishnaswami, Vojta Jina, Mona Chitnis:
pfl-research: simulation framework for accelerating research in Private Federated Learning. CoRR abs/2404.06430 (2024) - 2023
- [i17]Tatsuki Koga, Congzheng Song, Martin Pelikan, Mona Chitnis:
Population Expansion for Training Language Models with Private Federated Learning. CoRR abs/2307.07477 (2023) - [i16]Sheikh Shams Azam, Tatiana Likhomanenko, Martin Pelikan, Jan Honza Silovsky:
Importance of Smoothness Induced by Optimizers in FL4ASR: Towards Understanding Federated Learning for End-to-End ASR. CoRR abs/2309.13102 (2023) - [i15]Martin Pelikan, Sheikh Shams Azam, Vitaly Feldman, Jan Honza Silovsky, Kunal Talwar, Tatiana Likhomanenko:
Federated Learning with Differential Privacy for End-to-End Speech Recognition. CoRR abs/2310.00098 (2023) - 2022
- [i14]Alexander E. I. Brownlee, Martin Pelikan
, John A. W. McCall, Andrei Petrovski:
An Application of a Multivariate Estimation of Distribution Algorithm to Cancer Chemotherapy. CoRR abs/2205.08438 (2022) - 2012
- [i13]Martin Pelikan, Mark Hauschild:
Distance-Based Bias in Model-Directed Optimization of Additively Decomposable Problems. CoRR abs/1201.2241 (2012) - [i12]Martin Pelikan, Mark Hauschild:
Transfer Learning, Soft Distance-Based Bias, and the Hierarchical BOA. CoRR abs/1203.5443 (2012) - 2008
- [i11]Martin Pelikan:
Analysis of Estimation of Distribution Algorithms and Genetic Algorithms on NK Landscapes. CoRR abs/0801.3111 (2008) - [i10]Martin Pelikan, Kumara Sastry, David E. Goldberg:
iBOA: The Incremental Bayesian Optimization Algorithm. CoRR abs/0801.3113 (2008) - 2005
- [i9]Radovan Ondas, Martin Pelikan, Kumara Sastry:
Scalability of Genetic Programming and Probabilistic Incremental Program Evolution. CoRR abs/cs/0502029 (2005) - [i8]Martin Pelikan, Kumara Sastry, David E. Goldberg:
Multiobjective hBOA, Clustering, and Scalability. CoRR abs/cs/0502034 (2005) - [i7]Kumara Sastry, Martin Pelikan, David E. Goldberg:
Decomposable Problems, Niching, and Scalability of Multiobjective Estimation of Distribution Algorithms. CoRR abs/cs/0502057 (2005) - 2004
- [i6]Martin Pelikan, Jiri Ocenasek, Simon Trebst, Matthias Troyer, Fabien Alet:
Computational complexity and simulation of rare events of Ising spin glasses. CoRR cs.NE/0402030 (2004) - [i5]Martin Pelikan, Tz-Kai Lin:
Parameter-less hierarchical BOA. CoRR cs.NE/0402031 (2004) - [i4]Martin Pelikan, Kumara Sastry:
Fitness inheritance in the Bayesian optimization algorithm. CoRR cs.NE/0402032 (2004) - [i3]Kumara Sastry, David E. Goldberg, Martin Pelikan:
Efficiency Enhancement of Probabilistic Model Building Genetic Algorithms. CoRR cs.NE/0405062 (2004) - [i2]Kumara Sastry, Martin Pelikan, David E. Goldberg:
Efficiency Enhancement of Genetic Algorithms via Building-Block-Wise Fitness Estimation. CoRR cs.NE/0405065 (2004) - [i1]Jiri Ocenasek, Martin Pelikan:
Parallel Mixed Bayesian Optimization Algorithm: A Scaleup Analysis. CoRR cs.NE/0406007 (2004)
Coauthor Index
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