Mark Hauschild

22 papers A 11B 1Journal 5Unranked 3

Year	Rank	Type	Title / Venue / Authors
2017	A	`conf`	Automatic generation of domain-specific genetic algorithm operators using the hierarchical bayesian optimization algorithm. GECCO Cezary Z. Janikow, Mark Hauschild
2015	—	`ch.`	Estimation of Distribution Algorithms. Handbook of Computational Intelligence Martin Pelikan, Mark Hauschild, Fernando G. Lobo
2012	J	`jnl`	Distance-Based Bias in Model-Directed Optimization of Additively Decomposable Problems CoRR Martin Pelikan, Mark Hauschild
2012	A	`conf`	Distance-based bias in model-directed optimization of additively decomposable problems. GECCO Martin Pelikan, Mark Hauschild
2012	A	`conf`	Image segmentation using a genetic algorithm and hierarchical local search. GECCO Mark Hauschild, Sanjiv K. Bhatia, Martin Pelikan
2012	J	`jnl`	Transfer Learning, Soft Distance-Based Bias, and the Hierarchical BOA CoRR Martin Pelikan, Mark Hauschild
2012	—	`conf`	Transfer Learning, Soft Distance-Based Bias, and the Hierarchical BOA. PPSN (1) Martin Pelikan, Mark Hauschild, Pier Luca Lanzi
2012	J	`jnl`	Using Previous Models to Bias Structural Learning in the Hierarchical BOA. Evol. Comput. Mark Hauschild, Martin Pelikan, Kumara Sastry, David E. Goldberg
2011	A	`conf`	Advanced neighborhoods and problem difficulty measures. GECCO Mark Hauschild, Martin Pelikan
2011	J	`jnl`	An introduction and survey of estimation of distribution algorithms. Swarm Evol. Comput. Mark Hauschild, Martin Pelikan
2011	A	`conf`	Pairwise and problem-specific distance metrics in the linkage tree genetic algorithm. GECCO Martin Pelikan, Mark Hauschild, Dirk Thierens
2011	—	`conf`	Second order heuristics in ACGP. GECCO (Companion) Cezary Z. Janikow, John W. Aleshunas, Mark Hauschild
2010	A	`conf`	Network crossover performance on NK landscapes and deceptive problems. GECCO Mark Hauschild, Martin Pelikan
2010	—	`conf`	Performance of Network Crossover on NK Landscapes and Spin Glasses. PPSN (2) Mark Hauschild, Martin Pelikan
2009	J	`jnl`	Analyzing Probabilistic Models in Hierarchical BOA. IEEE Trans. Evol. Comput. Mark Hauschild, Martin Pelikan, Kumara Sastry, Cláudio F. Lima
2009	A	`conf`	Intelligent bias of network structures in the hierarchical BOA. GECCO Mark Hauschild, Martin Pelikan
2009	A	`conf`	Performance of evolutionary algorithms on NK landscapes with nearest neighbor interactions and tunable overlap. GECCO Martin Pelikan, Kumara Sastry, David E. Goldberg, Martin V. Butz, Mark Hauschild
2008	A	`conf`	Enhancing Efficiency of Hierarchical BOA Via Distance-Based Model Restrictions. PPSN Mark Hauschild, Martin Pelikan
2008	—	`ch.`	Linkage Learning Accuracy in the Bayesian Optimization Algorithm. Linkage in Evolutionary Computation Cláudio F. Lima, Martin Pelikan, David E. Goldberg, Fernando G. Lobo, Kumara Sastry, Mark Hauschild
2008	A	`conf`	Using previous models to bias structural learning in the hierarchical BOA. GECCO Mark Hauschild, Martin Pelikan, Kumara Sastry, David E. Goldberg
2007	A	`conf`	Analyzing probabilistic models in hierarchical BOA on traps and spin glasses. GECCO Mark Hauschild, Martin Pelikan, Cláudio F. Lima, Kumara Sastry
2007	B	`conf`	Influence of selection and replacement strategies on linkage learning in BOA. IEEE Congress on Evolutionary Computation Cláudio F. Lima, Martin Pelikan, David E. Goldberg, Fernando G. Lobo, Kumara Sastry, Mark Hauschild