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Journal Articles
- 2012
[j3]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
- [j2]Mark Hauschild, Martin Pelikan:
An introduction and survey of estimation of distribution algorithms. Swarm Evol. Comput. 1(3): 111-128 (2011) - 2009
- [j1]Mark Hauschild, Martin Pelikan, Kumara Sastry, Cláudio F. Lima:
Analyzing Probabilistic Models in Hierarchical BOA. IEEE Trans. Evol. Comput. 13(6): 1199-1217 (2009)
Conference and Workshop Papers
- 2017
- [c15]Cezary Z. Janikow, Mark Hauschild:
Automatic generation of domain-specific genetic algorithm operators using the hierarchical bayesian optimization algorithm. GECCO 2017: 801-808 - 2012
- [c14]Martin Pelikan, Mark Hauschild:
Distance-based bias in model-directed optimization of additively decomposable problems. GECCO 2012: 273-280 - [c13]Mark Hauschild, Sanjiv K. Bhatia, Martin Pelikan:
Image segmentation using a genetic algorithm and hierarchical local search. GECCO 2012: 633-640 - [c12]Martin Pelikan, Mark Hauschild, Pier Luca Lanzi:
Transfer Learning, Soft Distance-Based Bias, and the Hierarchical BOA. PPSN (1) 2012: 173-183 - 2011
- [c11]Mark Hauschild, Martin Pelikan:
Advanced neighborhoods and problem difficulty measures. GECCO 2011: 625-632 - [c10]Cezary Z. Janikow, John W. Aleshunas, Mark Hauschild:
Second order heuristics in ACGP. GECCO (Companion) 2011: 671-678 - [c9]Martin Pelikan, Mark Hauschild, Dirk Thierens:
Pairwise and problem-specific distance metrics in the linkage tree genetic algorithm. GECCO 2011: 1005-1012 - 2010
- [c8]Mark Hauschild, Martin Pelikan:
Network crossover performance on NK landscapes and deceptive problems. GECCO 2010: 713-720 - [c7]Mark Hauschild, Martin Pelikan:
Performance of Network Crossover on NK Landscapes and Spin Glasses. PPSN (2) 2010: 462-471 - 2009
- [c6]Mark Hauschild, Martin Pelikan:
Intelligent bias of network structures in the hierarchical BOA. GECCO 2009: 413-420 - [c5]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
- [c4]Mark Hauschild, Martin Pelikan, Kumara Sastry, David E. Goldberg:
Using previous models to bias structural learning in the hierarchical BOA. GECCO 2008: 415-422 - [c3]Mark Hauschild, Martin Pelikan:
Enhancing Efficiency of Hierarchical BOA Via Distance-Based Model Restrictions. PPSN 2008: 417-427 - 2007
- [c2]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 - [c1]Mark Hauschild, Martin Pelikan, Cláudio F. Lima, Kumara Sastry:
Analyzing probabilistic models in hierarchical BOA on traps and spin glasses. GECCO 2007: 523-530
Parts in Books or Collections
- 2015
- [p2]Martin Pelikan, Mark Hauschild, Fernando G. Lobo:
Estimation of Distribution Algorithms. Handbook of Computational Intelligence 2015: 899-928 - 2008
- [p1]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
Informal and Other Publications
- 2012
- [i2]Martin Pelikan, Mark Hauschild:
Distance-Based Bias in Model-Directed Optimization of Additively Decomposable Problems. CoRR abs/1201.2241 (2012) - [i1]Martin Pelikan, Mark Hauschild:
Transfer Learning, Soft Distance-Based Bias, and the Hierarchical BOA. CoRR abs/1203.5443 (2012)
Coauthor Index
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