Kumara Sastry

	2009
85		Martin Pelikan, Kumara Sastry: Initial-population bias in the univariate estimation of distribution algorithm. GECCO 2009: 429-436
84		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
	2008
83		Yuji Sato, David E. Goldberg, Kumara Sastry: Improving small population performance under noise with viral infection + tropism. GECCO 2008: 1143-1144
82		Shunsuke Saruwatari, Xavier Llorà, Noriko Imafuji Yasui, Hiroshi Tamura, Kumara Sastry, David E. Goldberg: Speeding online synthesis via enforced selecto-recombination. GECCO 2008: 1635-1642
81		Mark Hauschild, Martin Pelikan, Kumara Sastry, David E. Goldberg: Using previous models to bias structural learning in the hierarchical BOA. GECCO 2008: 415-422
80		Martin Pelikan, Kumara Sastry, David E. Goldberg: iBOA: the incremental bayesian optimization algorithm. GECCO 2008: 455-462
79		Thyago S. P. C. Duque, David E. Goldberg, Kumara Sastry: Improving the efficiency of the extended compact genetic algorithm. GECCO 2008: 467-468
78		Thyago S. P. C. Duque, David E. Goldberg, Kumara Sastry: Enhancing the Efficiency of the ECGA. PPSN 2008: 165-174
77		Pier Luca Lanzi, Luigi Nichetti, Kumara Sastry, Davide Voltini, David E. Goldberg: Real-Coded Extended Compact Genetic Algorithm Based on Mixtures of Models. Linkage in Evolutionary Computation 2008: 335-358
76		Minqiang Li, David E. Goldberg, Kumara Sastry, Tian-Li Yu: Real-Coded ECGA for Solving Decomposable Real-Valued Optimization Problems. Linkage in Evolutionary Computation 2008: 61-86
75		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
74		Martin Pelikan, Kumara Sastry, David E. Goldberg: iBOA: The Incremental Bayesian Optimization Algorithm CoRR abs/0801.3113: (2008)
73		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
72		Kumara Sastry, David E. Goldberg: Let's get ready to rumble redux: crossover versus mutation head to head on exponentially scaled problems. GECCO 2007: 1380-1387
71		Kumara Sastry, Martin Pelikan, David E. Goldberg: Empirical analysis of ideal recombination on random decomposable problems. GECCO 2007: 1388-1395
70		Xavier Llorà, Kumara Sastry, Tian-Li Yu, David E. Goldberg: Do not match, inherit: fitness surrogates for genetics-based machine learning techniques. GECCO 2007: 1798-1805
69		Albert Orriols-Puig, David E. Goldberg, Kumara Sastry, Ester Bernadó-Mansilla: Modeling XCS in class imbalances: population size and parameter settings. GECCO 2007: 1838-1845
68		Albert Orriols-Puig, Kumara Sastry, Pier Luca Lanzi, David E. Goldberg, Ester Bernadó-Mansilla: Modeling selection pressure in XCS for proportionate and tournament selection. GECCO 2007: 1846-1853
67		Jaume Bacardit, Michael Stout, Jonathan D. Hirst, Kumara Sastry, Xavier Llorà, Natalio Krasnogor: Automated alphabet reduction method with evolutionary algorithms for protein structure prediction. GECCO 2007: 346-353
66		Mark Hauschild, Martin Pelikan, Cláudio F. Lima, Kumara Sastry: Analyzing probabilistic models in hierarchical BOA on traps and spin glasses. GECCO 2007: 523-530
65		Kumara Sastry, David E. Goldberg, Xavier Llorà: Towards billion-bit optimization via a parallel estimation of distribution algorithm. GECCO 2007: 577-584
64		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
63		Albert Orriols-Puig, Ester Bernadó-Mansilla, Kumara Sastry, David E. Goldberg: Substructrual surrogates for learning decomposable classification problems: implementation and first results. GECCO (Companion) 2007: 2875-2882
62		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
61		Minqiang Li, Daniel E. Goldberg, Kumara Sastry, Tian-Li Yu: Real-coded ECGA for solving decomposable real-valued optimization problems. IEEE Congress on Evolutionary Computation 2007: 2194-2201
60		Luca Fossati, Pier Luca Lanzi, Kumara Sastry, David E. Goldberg, Osvaldo Gómez: A Simple Real-Coded Extended Compact Genetic Algorithm. IEEE Congress on Evolutionary Computation 2007: 342-348
59		Xavier Llorà, Kumara Sastry, Cláudio F. Lima, Fernando G. Lobo, David E. Goldberg: Linkage Learning, Rule Representation, and the X-Ary Extended Compact Classifier System. IWLCS 2007: 189-205
58		Pier Luca Lanzi, Stefano Rocca, Kumara Sastry, Stefania Solari: Analysis of Population Evolution in Classifier Systems Using Symbolic Representations. IWLCS 2007: 22-45
57		Albert Orriols-Puig, Kumara Sastry, David E. Goldberg, Ester Bernadó-Mansilla: Substructural Surrogates for Learning Decomposable Classification Problems. IWLCS 2007: 235-254
56		Tian-Li Yu, Kumara Sastry, David E. Goldberg: Population Sizing to Go: Online Adaptation Using Noise and Substructural Measurements. Parameter Setting in Evolutionary Algorithms 2007: 205-223
55		David E. Goldberg, Kumara Sastry, Xavier Llorà: Toward routine billion-variable optimization using genetic algorithms. Complexity 12(3): 27-29 (2007)
54		Martin V. Butz, David E. Goldberg, Pier Luca Lanzi, Kumara Sastry: Problem solution sustenance in XCS: Markov chain analysis of niche support distributions and the impact on computational complexity. Genetic Programming and Evolvable Machines 8(1): 5-37 (2007)
	2006
53		Martin Pelikan, Kumara Sastry, Erick Cantú-Paz: Scalable Optimization via Probabilistic Modeling Springer 2006
52		Kumara Sastry, Paul Winward, David E. Goldberg, Cláudio F. Lima: Fluctuating Crosstalk as a Source of Deterministic Noise and Its Effects on GA Scalability. EvoWorkshops 2006: 740-751
51		Xavier Llorà, Kumara Sastry, Francesc Alías, David E. Goldberg, Michael Welge: Analyzing active interactive genetic algorithms using visual analytics. GECCO 2006: 1417-1418
50		Xavier Llorà, Kumara Sastry: Fast rule matching for learning classifier systems via vector instructions. GECCO 2006: 1513-1520
49		Kumara Sastry, D. D. Johnson, Alexis L. Thompson, David E. Goldberg, Todd J. Martinez, Jeff Leiding, Jane Owens: Multiobjective genetic algorithms for multiscaling excited state direct dynamics in photochemistry. GECCO 2006: 1745-1752
48		Martin Pelikan, Kumara Sastry, David E. Goldberg: Sporadic model building for efficiency enhancement of hierarchical BOA. GECCO 2006: 405-412
47		Kumara Sastry, Cláudio F. Lima, David E. Goldberg: Evaluation relaxation using substructural information and linear estimation. GECCO 2006: 419-426
46		Martin Pelikan, Kumara Sastry, Martin V. Butz, David E. Goldberg: Hierarchical BOA on random decomposable problems. GECCO 2006: 431-432
45		Martin Pelikan, Alexander K. Hartmann, Kumara Sastry: Hierarchical BOA, Cluster Exact Approximation, and Ising Spin Glasses. PPSN 2006: 122-131
44		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
43		Martin Pelikan, Kumara Sastry, Martin V. Butz, David E. Goldberg: Performance of Evolutionary Algorithms on Random Decomposable Problems. PPSN 2006: 788-797
42		Martin Pelikan, Kumara Sastry, Erick Cantú-Paz: Introduction. Scalable Optimization via Probabilistic Modeling 2006: 1-10
41		Kumara Sastry, Martin Pelikan, David E. Goldberg: Efficiency Enhancement of Estimation of Distribution Algorithms. Scalable Optimization via Probabilistic Modeling 2006: 161-185
40		Martin Pelikan, Kumara Sastry, David E. Goldberg: Multiobjective Estimation of Distribution Algorithms. Scalable Optimization via Probabilistic Modeling 2006: 223-248
39		Georges R. Harik, Fernando G. Lobo, Kumara Sastry: Linkage Learning via Probabilistic Modeling in the Extended Compact Genetic Algorithm (ECGA). Scalable Optimization via Probabilistic Modeling 2006: 39-61
	2005
38		Kumara Sastry, David E. Goldberg, Martin Pelikan: Limits of scalability of multiobjective estimation of distribution algorithms. Congress on Evolutionary Computation 2005: 2217-2224
37		Tian-Li Yu, Kumara Sastry, David E. Goldberg: Online population size adjusting using noise and substructural measurements. Congress on Evolutionary Computation 2005: 2491-2498
36		Xavier Llorà, Kumara Sastry, David E. Goldberg: The compact classifier system: scalability analysis and first results. Congress on Evolutionary Computation 2005: 596-603
35		Tian-Li Yu, Kumara Sastry, David E. Goldberg: Linkage learning, overlapping building blocks, and systematic strategy for scalable recombination. GECCO 2005: 1217-1224
34		Xavier Llorà, Kumara Sastry, David E. Goldberg, Abhimanyu Gupta, Lalitha Lakshmi: Combating user fatigue in iGAs: partial ordering, support vector machines, and synthetic fitness. GECCO 2005: 1363-1370
33		Radovan Ondas, Martin Pelikan, Kumara Sastry: Scalability of genetic programming and probabilistic incremental program evolution. GECCO 2005: 1785-1786
32		Xavier Llorà, Kumara Sastry, David E. Goldberg: The compact classifier system: motivation, analysis, and first results. GECCO 2005: 1993-1994
31		Martin Pelikan, Kumara Sastry, David E. Goldberg: Multiobjective hBOA, clustering, and scalability. GECCO 2005: 663-670
30		Kumara Sastry, Hussein A. Abbass, David E. Goldberg, D. D. Johnson: Sub-structural niching in estimation of distribution algorithms. GECCO 2005: 671-678
29		Cláudio F. Lima, Kumara Sastry, David E. Goldberg, Fernando G. Lobo: Combining competent crossover and mutation operators: a probabilistic model building approach. GECCO 2005: 735-742
28		Xavier Llorà, Kumara Sastry, David E. Goldberg: Binary rule encoding schemes: a study using the compact classifier system. GECCO Workshops 2005: 88-89
27		Xavier Llorà, Kumara Sastry, David E. Goldberg: Binary Rule Encoding Schemes: A Study Using the Compact Classifier System. IWLCS 2005: 40-58
26		Kumara Sastry, Una-May O'Reilly, David E. Goldberg: Population Sizing for Genetic Programming Based Upon Decision Making CoRR abs/cs/0502020: (2005)
25		Hussein A. Abbass, Kumara Sastry, David E. Goldberg: Oiling the Wheels of Change: The Role of Adaptive Automatic Problem Decomposition in Non-Stationary Environments CoRR abs/cs/0502021: (2005)
24		Kumara Sastry, Hussein A. Abbass, David E. Goldberg: Sub-Structural Niching in Non-Stationary Environments CoRR abs/cs/0502022: (2005)
23		Kumara Sastry, Hussein A. Abbass, David E. Goldberg, D. D. Johnson: Sub-structural Niching in Estimation of Distribution Algorithms CoRR abs/cs/0502023: (2005)
22		Radovan Ondas, Martin Pelikan, Kumara Sastry: Scalability of Genetic Programming and Probabilistic Incremental Program Evolution CoRR abs/cs/0502029: (2005)
21		Martin Pelikan, Kumara Sastry, David E. Goldberg: Multiobjective hBOA, Clustering, and Scalability CoRR abs/cs/0502034: (2005)
20		Kumara Sastry, Martin Pelikan, David E. Goldberg: Decomposable Problems, Niching, and Scalability of Multiobjective Estimation of Distribution Algorithms CoRR abs/cs/0502057: (2005)
19		Martin V. Butz, Kumara Sastry, David E. Goldberg: Strong, Stable, and Reliable Fitness Pressure in XCS due to Tournament Selection. Genetic Programming and Evolvable Machines 6(1): 53-77 (2005)
	2004
18		Kumara Sastry, Hussein A. Abbass, David E. Goldberg: Sub-structural Niching in Non-stationary Environments. Australian Conference on Artificial Intelligence 2004: 873-885
17		Kei Ohnishi, Kumara Sastry, Ying-Ping Chen, David E. Goldberg: Inducing Sequentiality Using Grammatical Genetic Codes. GECCO (1) 2004: 1426-1437
16		Kumara Sastry, David E. Goldberg: Designing Competent Mutation Operators Via Probabilistic Model Building of Neighborhoods. GECCO (2) 2004: 114-125
15		Kumara Sastry, David E. Goldberg: Let's Get Ready to Rumble: Crossover Versus Mutation Head to Head. GECCO (2) 2004: 126-137
14		Martin Pelikan, Kumara Sastry: Fitness Inheritance in the Bayesian Optimization Algorithm. GECCO (2) 2004: 48-59
13		Martin Pelikan, Kumara Sastry: Fitness inheritance in the Bayesian optimization algorithm CoRR cs.NE/0402032: (2004)
12		Kumara Sastry, David E. Goldberg, Martin Pelikan: Efficiency Enhancement of Probabilistic Model Building Genetic Algorithms CoRR cs.NE/0405062: (2004)
11		Kumara Sastry, David E. Goldberg: Let's Get Ready to Rumble: Crossover Versus Mutation Head to Head CoRR cs.NE/0405063: (2004)
10		Kumara Sastry, David E. Goldberg: Designing Competent Mutation Operators via Probabilistic Model Building of Neighborhoods CoRR cs.NE/0405064: (2004)
9		Kumara Sastry, Martin Pelikan, David E. Goldberg: Efficiency Enhancement of Genetic Algorithms via Building-Block-Wise Fitness Estimation CoRR cs.NE/0405065: (2004)
	2003
8		Kumara Sastry, David E. Goldberg: Scalability of Selectorecombinative Genetic Algorithms for Problems with Tight Linkage. GECCO 2003: 1332-1344
7		Tian-Li Yu, David E. Goldberg, Kumara Sastry: Optimal Sampling and Speed-Up for Genetic Algorithms on the Sampled OneMax Problem. GECCO 2003: 1554-1565
6		Martin Butz, Kumara Sastry, David E. Goldberg: Tournament Selection: Stable Fitness Pressure in XCS. GECCO 2003: 1857-1869
5		David E. Goldberg, Kumara Sastry, Yukio Ohsawa: Discovering Deep Building Blocks for Competent Genetic Algorithms Using Chance Discovery via KeyGraphs. Chance Discovery 2003: 276-302
	2002
4		Jian-Hung Chen, David E. Goldberg, Shinn-Ying Ho, Kumara Sastry: Fitness Inheritance In Multi-objective Optimization. GECCO 2002: 319-326
3		Kumara Sastry, David E. Goldberg: Genetic Algorithms, Efficiency Enhancement, And Deciding Well With Differing Fitness Variances. GECCO 2002: 528-535
2		Kumara Sastry, David E. Goldberg: Genetic Algorithms, Efficiency Enhancement, And Deciding Well With Differing Fitness Bias Values. GECCO 2002: 536-543
1		Martin Pelikan, Kumara Sastry, David E. Goldberg: Scalability of the Bayesian optimization algorithm. Int. J. Approx. Reasoning 31(3): 221-258 (2002)

Coauthor Index

1	Hussein A. Abbass	[18] [23] [24] [25] [30]
2	Francesc Alías	[51]
3	Jaume Bacardit	[67]
4	Ester Bernadó-Mansilla (Ester Bernadó i Mansilla)	[57] [63] [68] [69]
5	Martin V. Butz (Martin Butz)	[6] [19] [43] [44] [46] [54] [84]
6	Erick Cantú-Paz	[42] [53]
7	Jian-Hung Chen	[4]
8	Ying-Ping Chen	[17]
9	Thyago S. P. C. Duque	[78] [79]
10	Luca Fossati	[60]
11	Daniel E. Goldberg	[61]
12	David E. Goldberg	[1] [2] [3] [4] [5] [6] [7] [8] [9] [10] [11] [12] [15] [16] [17] [18] [19] [20] [21] [23] [24] [25] [26] [27] [28] [29] [30] [31] [32] [34] [35] [36] [37] [38] [40] [41] [43] [44] [46] [47] [48] [49] [51] [52] [54] [55] [56] [57] [59] [60] [62] [63] [64] [65] [68] [69] [70] [71] [72] [73] [74] [75] [76] [77] [78] [79] [80] [81] [82] [83] [84]
13	Osvaldo Gómez	[60]
14	Abhimanyu Gupta	[34]
15	Georges R. Harik	[39]
16	Alexander K. Hartmann	[45]
17	Mark Hauschild	[62] [66] [75] [81] [84]
18	Jonathan D. Hirst	[67]
19	Shinn-Ying Ho	[4]
20	D. D. Johnson	[23] [30] [49]
21	Natalio Krasnogor	[67]
22	Lalitha Lakshmi	[34]
23	Pier Luca Lanzi	[54] [58] [60] [68] [77]
24	Jeff Leiding	[49]
25	Minqiang Li	[61] [76]
26	Cláudio F. Lima	[29] [44] [47] [52] [59] [62] [66] [75]
27	Xavier Llorà	[27] [28] [32] [34] [36] [50] [51] [55] [59] [65] [67] [70] [82]
28	Fernando G. Lobo (Fernando Graça Lobo)	[29] [39] [44] [59] [62] [75]
29	Todd J. Martinez	[49]
30	Luigi Nichetti	[77]
31	Una-May O'Reilly	[26]
32	Kei Ohnishi	[17]
33	Yukio Ohsawa	[5]
34	Radovan Ondas	[22] [33]
35	Albert Orriols-Puig	[57] [63] [68] [69]
36	Jane Owens	[49]
37	Martin Pelikan	[1] [9] [12] [13] [14] [20] [21] [22] [31] [33] [38] [40] [41] [42] [43] [44] [45] [46] [48] [53] [62] [64] [66] [71] [73] [74] [75] [80] [81] [84] [85]
38	Stefano Rocca	[58]
39	Shunsuke Saruwatari	[82]
40	Yuji Sato	[83]
41	Stefania Solari	[58]
42	Michael Stout	[67]
43	Hiroshi Tamura	[82]
44	Alexis L. Thompson	[49]
45	Davide Voltini	[77]
46	Michael Welge	[51]
47	Paul Winward	[52]
48	Noriko Imafuji Yasui	[82]
49	Tian-Li Yu	[7] [35] [37] [56] [61] [64] [70] [76]