Martin Pelikan

	2009
75		Mark Hauschild, Martin Pelikan: Intelligent bias of network structures in the hierarchical BOA. GECCO 2009: 413-420
74		Martin Pelikan, Kumara Sastry: Initial-population bias in the univariate estimation of distribution algorithm. GECCO 2009: 429-436
73		Elizabeth Radetic, Martin Pelikan, David E. Goldberg: Effects of a deterministic hill climber on hBOA. GECCO 2009: 437-444
72		Martin Pelikan, Helmut G. Katzgraber: Analysis of evolutionary algorithms on the one-dimensional spin glass with power-law interactions. GECCO 2009: 843-850
71		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
70		Martin Pelikan: Probabilistic model-building genetic algorithms. GECCO (Companion) 2009: 2879-2906
69		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
68		Martin Pelikan: Analysis of estimation of distribution algorithms and genetic algorithms on NK landscapes. GECCO 2008: 1033-1040
67		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		Cláudio F. Lima, Fernando G. Lobo, Martin Pelikan: From mating pool distributions to model overfitting. GECCO 2008: 431-438
65		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
64		Martin Pelikan, Kumara Sastry, David E. Goldberg: iBOA: the incremental bayesian optimization algorithm. GECCO 2008: 455-462
63		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		Martin Pelikan: Probabilistic model-building genetic algorithms. GECCO (Companion) 2008: 2389-2416
61		Mark Hauschild, Martin Pelikan: Enhancing Efficiency of Hierarchical BOA Via Distance-Based Model Restrictions. PPSN 2008: 417-427
60		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		Martin Pelikan: Analysis of Estimation of Distribution Algorithms and Genetic Algorithms on NK Landscapes CoRR abs/0801.3111: (2008)
58		Martin Pelikan, Kumara Sastry, David E. Goldberg: iBOA: The Incremental Bayesian Optimization Algorithm CoRR abs/0801.3113: (2008)
57		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		Kumara Sastry, Martin Pelikan, David E. Goldberg: Empirical analysis of ideal recombination on random decomposable problems. GECCO 2007: 1388-1395
55		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		Martin Pelikan, Rajiv Kalapala, Alexander K. Hartmann: Hybrid evolutionary algorithms on minimum vertex cover for random graphs. GECCO 2007: 547-554
53		Martin Pelikan, James D. Laury Jr.: Order or not: does parallelization of model building in hBOA affect its scalability? GECCO 2007: 555-561
52		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		Martin Pelikan, Alexander K. Hartmann: Obtaining ground states of ising spin glasses via optimizing bonds instead of spins. GECCO 2007: 628
50		Martin Pelikan, Shigeyoshi Tsutsui, Rajiv Kalapala: Dependency trees, permutations, and quadratic assignment problem. GECCO 2007: 629
49		Martin Pelikan: Probabilistic model-building genetic algorithms. GECCO (Companion) 2007: 3537-3562
48		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		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		Martin V. Butz, Martin Pelikan: Studying XCS/BOA learning in Boolean functions: structure encoding and random Boolean functions. GECCO 2006: 1449-1456
44		Martin Pelikan, Kumara Sastry, David E. Goldberg: Sporadic model building for efficiency enhancement of hierarchical BOA. GECCO 2006: 405-412
43		Martin Pelikan, Kumara Sastry, Martin V. Butz, David E. Goldberg: Hierarchical BOA on random decomposable problems. GECCO 2006: 431-432
42		Martin Pelikan, Alexander K. Hartmann, Kumara Sastry: Hierarchical BOA, Cluster Exact Approximation, and Ising Spin Glasses. PPSN 2006: 122-131
41		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		Martin Pelikan, Kumara Sastry, Martin V. Butz, David E. Goldberg: Performance of Evolutionary Algorithms on Random Decomposable Problems. PPSN 2006: 788-797
39		Martin Pelikan, Kumara Sastry, Erick Cantú-Paz: Introduction. Scalable Optimization via Probabilistic Modeling 2006: 1-10
38		Kumara Sastry, Martin Pelikan, David E. Goldberg: Efficiency Enhancement of Estimation of Distribution Algorithms. Scalable Optimization via Probabilistic Modeling 2006: 161-185
37		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		Martin Pelikan, Kumara Sastry, David E. Goldberg: Multiobjective Estimation of Distribution Algorithms. Scalable Optimization via Probabilistic Modeling 2006: 223-248
35		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		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		Martin Pelikan, David E. Goldberg: Hierarchical Bayesian Optimization Algorithm. Scalable Optimization via Probabilistic Modeling 2006: 63-90
32		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		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		Kumara Sastry, David E. Goldberg, Martin Pelikan: Limits of scalability of multiobjective estimation of distribution algorithms. Congress on Evolutionary Computation 2005: 2217-2224
29		Shigeyoshi Tsutsui, Martin Pelikan, Ashish Ghosh: Performance of aggregation pheromone system on unimodal and multimodal problems. Congress on Evolutionary Computation 2005: 880-887
28		Radovan Ondas, Martin Pelikan, Kumara Sastry: Scalability of genetic programming and probabilistic incremental program evolution. GECCO 2005: 1785-1786
27		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		Martin Pelikan, Kumara Sastry, David E. Goldberg: Multiobjective hBOA, clustering, and scalability. GECCO 2005: 663-670
25		Radovan Ondas, Martin Pelikan, Kumara Sastry: Scalability of Genetic Programming and Probabilistic Incremental Program Evolution CoRR abs/cs/0502029: (2005)
24		Martin Pelikan, Kumara Sastry, David E. Goldberg: Multiobjective hBOA, Clustering, and Scalability CoRR abs/cs/0502034: (2005)
23		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		Martin Pelikan, Tz-Kai Lin: Parameter-Less Hierarchical BOA. GECCO (2) 2004: 24-35
21		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		Martin Pelikan, Kumara Sastry: Fitness Inheritance in the Bayesian Optimization Algorithm. GECCO (2) 2004: 48-59
19		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		Martin Pelikan, Tz-Kai Lin: Parameter-less hierarchical BOA CoRR cs.NE/0402031: (2004)
17		Martin Pelikan, Kumara Sastry: Fitness inheritance in the Bayesian optimization algorithm CoRR cs.NE/0402032: (2004)
16		Kumara Sastry, David E. Goldberg, Martin Pelikan: Efficiency Enhancement of Probabilistic Model Building Genetic Algorithms CoRR cs.NE/0405062: (2004)
15		Kumara Sastry, Martin Pelikan, David E. Goldberg: Efficiency Enhancement of Genetic Algorithms via Building-Block-Wise Fitness Estimation CoRR cs.NE/0405065: (2004)
14		Jiri Ocenasek, Martin Pelikan: Parallel Mixed Bayesian Optimization Algorithm: A Scaleup Analysis CoRR cs.NE/0406007: (2004)
	2003
13		Jiri Ocenasek, Josef Schwarz, Martin Pelikan: Design of Multithreaded Estimation of Distribution Algorithms. GECCO 2003: 1247-1258
12		Martin Pelikan, David E. Goldberg: Hierarchical BOA Solves Ising Spin Glasses and MAXSAT. GECCO 2003: 1271-1282
11		Martin Pelikan, David E. Goldberg: A hierarchy machine: Learning to optimize from nature and humans. Complexity 8(5): 36-45 (2003)
10		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		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)

Coauthor Index

1	Fabien Alet	[19] [21]
2	Alexander E. I. Brownlee	[63]
3	Martin V. Butz (Martin Butz)	[27] [32] [35] [40] [41] [43] [45] [71]
4	Erick Cantú-Paz	[1] [4] [37] [39] [46]
5	Ashish Ghosh	[29] [31]
6	David E. Goldberg	[1] [2] [4] [5] [6] [7] [8] [9] [10] [11] [12] [15] [16] [23] [24] [26] [27] [30] [32] [33] [35] [36] [38] [40] [41] [43] [44] [48] [52] [56] [57] [58] [60] [64] [67] [69] [71] [73]
7	Alexander K. Hartmann	[34] [42] [47] [51] [54]
8	Mark Hauschild	[48] [55] [60] [61] [67] [71] [75]
9	Rajiv Kalapala	[50] [54]
10	Helmut G. Katzgraber	[65] [72]
11	Nazan Khan	[8]
12	Sigismund Kobe	[65]
13	James D. Laury Jr.	[53]
14	Cláudio F. Lima	[41] [48] [55] [60] [66] [69]
15	Tz-Kai Lin	[18] [22] [47]
16	Xavier Llorà	[27] [32] [35]
17	Fernando G. Lobo (Fernando Graça Lobo)	[3] [6] [41] [48] [60] [66] [69]
18	John A. W. McCall	[63]
19	Jiri Ocenasek	[13] [14] [19] [21] [37]
20	Radovan Ondas	[25] [28]
21	Andrei Petrovski	[63]
22	Elizabeth Radetic	[73]
23	Kumara Sastry	[7] [15] [16] [17] [20] [23] [24] [25] [26] [28] [30] [36] [38] [39] [40] [41] [42] [43] [44] [46] [48] [52] [55] [56] [57] [58] [60] [64] [67] [71] [74]
24	Josef Schwarz	[13] [37]
25	Simon Trebst	[19] [21]
26	Matthias Troyer	[19] [21]
27	Shigeyoshi Tsutsui	[9] [10] [29] [31] [50]
28	Tian-Li Yu	[52]

Colors in the list of coauthors