2008 |
68 | EE | Martin Pelikan:
Analysis of estimation of distribution algorithms and genetic algorithms on NK landscapes.
GECCO 2008: 1033-1040 |
67 | EE | Mark Hauschild,
Martin Pelikan,
Kumara Sastry,
David E. Goldberg:
Using previous models to bias structural learning in the hierarchical BOA.
GECCO 2008: 415-422 |
66 | EE | Cláudio F. Lima,
Fernando G. Lobo,
Martin Pelikan:
From mating pool distributions to model overfitting.
GECCO 2008: 431-438 |
65 | EE | Martin Pelikan,
Katzgraber G. Helmut,
Sigismund Kobe:
Finding ground states of Sherrington-Kirkpatrick spin glasses with hierarchical boa and genetic algorithms.
GECCO 2008: 447-454 |
64 | EE | Martin Pelikan,
Kumara Sastry,
David E. Goldberg:
iBOA: the incremental bayesian optimization algorithm.
GECCO 2008: 455-462 |
63 | EE | 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 |
62 | EE | Martin Pelikan:
Probabilistic model-building genetic algorithms.
GECCO (Companion) 2008: 2389-2416 |
61 | EE | Mark Hauschild,
Martin Pelikan:
Enhancing Efficiency of Hierarchical BOA Via Distance-Based Model Restrictions.
PPSN 2008: 417-427 |
60 | EE | 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 |
59 | EE | Martin Pelikan:
Analysis of Estimation of Distribution Algorithms and Genetic Algorithms on NK Landscapes
CoRR abs/0801.3111: (2008) |
58 | EE | Martin Pelikan,
Kumara Sastry,
David E. Goldberg:
iBOA: The Incremental Bayesian Optimization Algorithm
CoRR abs/0801.3113: (2008) |
57 | EE | Martin Pelikan,
Kumara Sastry,
David E. Goldberg:
Sporadic model building for efficiency enhancement of the hierarchical BOA.
Genetic Programming and Evolvable Machines 9(1): 53-84 (2008) |
2007 |
56 | EE | Kumara Sastry,
Martin Pelikan,
David E. Goldberg:
Empirical analysis of ideal recombination on random decomposable problems.
GECCO 2007: 1388-1395 |
55 | EE | Mark Hauschild,
Martin Pelikan,
Cláudio F. Lima,
Kumara Sastry:
Analyzing probabilistic models in hierarchical BOA on traps and spin glasses.
GECCO 2007: 523-530 |
54 | EE | Martin Pelikan,
Rajiv Kalapala,
Alexander K. Hartmann:
Hybrid evolutionary algorithms on minimum vertex cover for random graphs.
GECCO 2007: 547-554 |
53 | EE | Martin Pelikan,
James D. Laury Jr.:
Order or not: does parallelization of model building in hBOA affect its scalability?
GECCO 2007: 555-561 |
52 | EE | 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 |
51 | EE | Martin Pelikan,
Alexander K. Hartmann:
Obtaining ground states of ising spin glasses via optimizing bonds instead of spins.
GECCO 2007: 628 |
50 | EE | Martin Pelikan,
Shigeyoshi Tsutsui,
Rajiv Kalapala:
Dependency trees, permutations, and quadratic assignment problem.
GECCO 2007: 629 |
49 | EE | Martin Pelikan:
Probabilistic model-building genetic algorithms.
GECCO (Companion) 2007: 3537-3562 |
48 | EE | 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 |
47 | EE | Martin Pelikan,
Alexander K. Hartmann,
Tz-Kai Lin:
Parameter-less Hierarchical Bayesian Optimization Algorithm.
Parameter Setting in Evolutionary Algorithms 2007: 225-239 |
2006 |
46 | | Martin Pelikan,
Kumara Sastry,
Erick Cantú-Paz:
Scalable Optimization via Probabilistic Modeling
Springer 2006 |
45 | EE | Martin V. Butz,
Martin Pelikan:
Studying XCS/BOA learning in Boolean functions: structure encoding and random Boolean functions.
GECCO 2006: 1449-1456 |
44 | EE | Martin Pelikan,
Kumara Sastry,
David E. Goldberg:
Sporadic model building for efficiency enhancement of hierarchical BOA.
GECCO 2006: 405-412 |
43 | EE | Martin Pelikan,
Kumara Sastry,
Martin V. Butz,
David E. Goldberg:
Hierarchical BOA on random decomposable problems.
GECCO 2006: 431-432 |
42 | EE | Martin Pelikan,
Alexander K. Hartmann,
Kumara Sastry:
Hierarchical BOA, Cluster Exact Approximation, and Ising Spin Glasses.
PPSN 2006: 122-131 |
41 | EE | 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 |
40 | EE | Martin Pelikan,
Kumara Sastry,
Martin V. Butz,
David E. Goldberg:
Performance of Evolutionary Algorithms on Random Decomposable Problems.
PPSN 2006: 788-797 |
39 | EE | Martin Pelikan,
Kumara Sastry,
Erick Cantú-Paz:
Introduction.
Scalable Optimization via Probabilistic Modeling 2006: 1-10 |
38 | EE | Kumara Sastry,
Martin Pelikan,
David E. Goldberg:
Efficiency Enhancement of Estimation of Distribution Algorithms.
Scalable Optimization via Probabilistic Modeling 2006: 161-185 |
37 | EE | Jiri Ocenasek,
Erick Cantú-Paz,
Martin Pelikan,
Josef Schwarz:
Design of Parallel Estimation of Distribution Algorithms.
Scalable Optimization via Probabilistic Modeling 2006: 187-203 |
36 | EE | Martin Pelikan,
Kumara Sastry,
David E. Goldberg:
Multiobjective Estimation of Distribution Algorithms.
Scalable Optimization via Probabilistic Modeling 2006: 223-248 |
35 | EE | Martin 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 |
34 | EE | 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 |
33 | EE | Martin Pelikan,
David E. Goldberg:
Hierarchical Bayesian Optimization Algorithm.
Scalable Optimization via Probabilistic Modeling 2006: 63-90 |
32 | EE | Martin V. Butz,
Martin Pelikan,
Xavier Llorà,
David E. Goldberg:
Automated Global Structure Extraction for Effective Local Building Block Processing in XCS.
Evolutionary Computation 14(3): 345-380 (2006) |
31 | EE | 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) |
2005 |
30 | EE | Kumara Sastry,
David E. Goldberg,
Martin Pelikan:
Limits of scalability of multiobjective estimation of distribution algorithms.
Congress on Evolutionary Computation 2005: 2217-2224 |
29 | EE | Shigeyoshi Tsutsui,
Martin Pelikan,
Ashish Ghosh:
Performance of aggregation pheromone system on unimodal and multimodal problems.
Congress on Evolutionary Computation 2005: 880-887 |
28 | EE | Radovan Ondas,
Martin Pelikan,
Kumara Sastry:
Scalability of genetic programming and probabilistic incremental program evolution.
GECCO 2005: 1785-1786 |
27 | EE | 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 |
26 | EE | Martin Pelikan,
Kumara Sastry,
David E. Goldberg:
Multiobjective hBOA, clustering, and scalability.
GECCO 2005: 663-670 |
25 | EE | Radovan Ondas,
Martin Pelikan,
Kumara Sastry:
Scalability of Genetic Programming and Probabilistic Incremental Program Evolution
CoRR abs/cs/0502029: (2005) |
24 | EE | Martin Pelikan,
Kumara Sastry,
David E. Goldberg:
Multiobjective hBOA, Clustering, and Scalability
CoRR abs/cs/0502034: (2005) |
23 | EE | Kumara Sastry,
Martin Pelikan,
David E. Goldberg:
Decomposable Problems, Niching, and Scalability of Multiobjective Estimation of Distribution Algorithms
CoRR abs/cs/0502057: (2005) |
2004 |
22 | EE | Martin Pelikan,
Tz-Kai Lin:
Parameter-Less Hierarchical BOA.
GECCO (2) 2004: 24-35 |
21 | EE | 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 |
20 | EE | Martin Pelikan,
Kumara Sastry:
Fitness Inheritance in the Bayesian Optimization Algorithm.
GECCO (2) 2004: 48-59 |
19 | EE | 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) |
18 | EE | Martin Pelikan,
Tz-Kai Lin:
Parameter-less hierarchical BOA
CoRR cs.NE/0402031: (2004) |
17 | EE | Martin Pelikan,
Kumara Sastry:
Fitness inheritance in the Bayesian optimization algorithm
CoRR cs.NE/0402032: (2004) |
16 | EE | Kumara Sastry,
David E. Goldberg,
Martin Pelikan:
Efficiency Enhancement of Probabilistic Model Building Genetic Algorithms
CoRR cs.NE/0405062: (2004) |
15 | EE | Kumara Sastry,
Martin Pelikan,
David E. Goldberg:
Efficiency Enhancement of Genetic Algorithms via Building-Block-Wise Fitness Estimation
CoRR cs.NE/0405065: (2004) |
14 | EE | Jiri Ocenasek,
Martin Pelikan:
Parallel Mixed Bayesian Optimization Algorithm: A Scaleup Analysis
CoRR cs.NE/0406007: (2004) |
2003 |
13 | EE | Jiri Ocenasek,
Josef Schwarz,
Martin Pelikan:
Design of Multithreaded Estimation of Distribution Algorithms.
GECCO 2003: 1247-1258 |
12 | EE | Martin Pelikan,
David E. Goldberg:
Hierarchical BOA Solves Ising Spin Glasses and MAXSAT.
GECCO 2003: 1271-1282 |
11 | EE | Martin Pelikan,
David E. Goldberg:
A hierarchy machine: Learning to optimize from nature and humans.
Complexity 8(5): 36-45 (2003) |
10 | EE | 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 |
9 | | Martin Pelikan,
David E. Goldberg,
Shigeyoshi Tsutsui:
Combining The Strengths Of Bayesian Optimization Algorithm And Adaptive Evolution Strategies.
GECCO 2002: 512-519 |
8 | | Nazan Khan,
David E. Goldberg,
Martin Pelikan:
Multiple-objective Bayesian Optimization Algorithm.
GECCO 2002: 684 |
7 | EE | Martin Pelikan,
Kumara Sastry,
David E. Goldberg:
Scalability of the Bayesian optimization algorithm.
Int. J. Approx. Reasoning 31(3): 221-258 (2002) |
2000 |
6 | | Fernando G. Lobo,
David E. Goldberg,
Martin Pelikan:
Time Complexity of genetic algorithms on exponentially scaled problems.
GECCO 2000: 151-158 |
5 | | Martin Pelikan,
David E. Goldberg:
Hierarchical Problem Solving and the Bayesian Optimization Algorithm.
GECCO 2000: 267-274 |
4 | | Martin Pelikan,
David E. Goldberg,
Erick Cantú-Paz:
Bayesian Optimization Algorithm, Population Sizing, and Time to Convergence.
GECCO 2000: 275-282 |
3 | | Martin Pelikan,
Fernando G. Lobo:
Parameter-less Genetic Algorithm: A Worst-case Time and Space Complexity Analysis.
GECCO 2000: 370 |
2 | | Martin Pelikan,
David E. Goldberg:
Genetic Algorithms, Clustering, and the Breaking of Symmetry.
PPSN 2000: 385-394 |
1 | | Martin Pelikan,
David E. Goldberg,
Erick Cantú-Paz:
Linkage Problem, Distribution Estimation, and Bayesian Networks.
Evolutionary Computation 8(3): 311-340 (2000) |