Treffer 41 - 60 von 226

41

Distance-Based Bias in Model-Directed Optimization of Additively Decomposable Problems
Pelikan, Martin ; Hauschild, Mark W. ; Pelikan, Martin ; et al.

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43

Sub-structural Niching in Estimation of Distribution Algorithms
Sastry, K. ; Abbass, H. A. ; Goldberg, D. E. ; et al.

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44

Multiobjective hBOA, Clustering, and Scalability
Pelikan, Martin ; Sastry, Kumara ; Goldberg, David E. ; et al.

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45

Parameter-less hierarchical BOA
Pelikan, Martin ; Lin, Tz-Kai ; Pelikan, Martin ; et al.

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46

Computational complexity and simulation of rare events of Ising spin glasses
Pelikan, Martin ; Ocenasek, Jiri ; Trebst, Simon ; et al.

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47

Using Previous Models to Bias Structural Learning in the Hierarchical BOA.
Hauschild, M. W. ; Pelikan, M. ; Sastry, K. ; et al.
Evolutionary Computation. Spring2012, Vol. 20 Issue 1, p135-160. 26p. 1 Diagram, 4 Charts, 8 Graphs.

ALGORITHMS ESTIMATION theory MATHEMATICAL optimizatio... PROBABILISTIC number the... BAYESIAN analysis
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48

Analyzing Probabilistic Models in Hierarchical BOA.
Hauschild, Mark ; Pelikan, Martin ; Sastry, Kumara ; et al.
IEEE Transactions on Evolutionary Computation; Dec2009, Vol. 13 Issue 6, p1199-1217, 19p, 3 Diagrams, 1 Graph

GENETIC algorithms BAYESIAN analysis DISTRIBUTION (Probabilit... COMBINATORIAL optimizati... EVOLUTIONARY computation ALGORITHMS
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49

Analysis of Evolutionary Algorithms on the One-Dimensional Spin Glass with Power-Law Interactions
Pelikan, Martin ; Katzgraber, Helmut G.
Proceedings of the Genetic and Evolutionary Computation Conference (GECCO-2009), ACM Press, 843-850

Condensed Matter - Disor...
Report
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50

Finding Ground States of Sherrington-Kirkpatrick Spin Glasses with Hierarchical BOA and Genetic Algorithms
Pelikan, Martin ; Katzgraber, Helmut G. ; Kobe, Sigismund
Proceedings of the Genetic and Evolutionary Computation Conference (GECCO-2008), ACM Press, 447-454.

Condensed Matter - Disor...
Report
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51

Learning Hierarchical Acquisition Functions for Bayesian Optimization
Tjasa Kunavar ; Jan Babič ; Jan Peters ; et al.
2020 IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS). :5490-5496

0209 industrial biotechn... 0202 electrical engineer... 02 engineering and techn...
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53

Chi-square matrix: An approach for building-block identification
APORNTEWAN, Chatchawit ; CHONGSTITVATANA, Prabhas
ASIAN 2004 : advances in computer science (higher-level decision making)Lecture notes in computer science. :63-77

Computer science Informatique Sciences exactes et tech... Exact sciences and techn... Sciences appliquees Applied sciences
Konferenz
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54

Information theory‐based decision support system for integrated design of multivariable hydrometric networks
Jongho Keum ; Paulin Coulibaly
Water Resources Research. 53:6239-6259

13. Climate action 0207 environmental engin... 02 engineering and techn... 6. Clean water
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55

A diversity preservation scheme for DSMGA-II to conquer the hierarchical difficulty
Jheng-Ying Yu ; Tian-Li Yu ; I-Ting Chen
Proceedings of the Genetic and Evolutionary Computation Conference. :841-848

13. Climate action 0202 electrical engineer... 0102 computer and inform... 02 engineering and techn... 7. Clean energy 01 natural sciences
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56

Application of substructural local search in the MAXSAT problem
Gonzalez, Pedro Frazão ; Lobo, Fernando ; Sapientia

Algoritmos genéticos Algoritmos da estimação... Redes Bayesianas Pesquisa local sub-estru... MAXSAT
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57

Hierarchical BOA, cluster exact approximation, and ising spin glasses
Pelikan, Martin ; Hartmann, Alexander K. ; Sastry, Kumara ; et al.

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58

Distance-based bias in model-directed optimization of additively decomposable problems
Martin Pelikan ; Mark W. Hauschild
Proceedings of the 14th annual conference on Genetic and evolutionary computation. :273-280

FOS: Computer and inform... Artificial Intelligence... I.2.6 I.2.8 G.1.6 Computer Science - Artif...
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59

Analysis of epistasis correlation on NK landscapes with nearest-neighbor interactions
Martin Pelikan
Proceedings of the 13th annual conference on Genetic and evolutionary computation. :1013-1020

0202 electrical engineer... 0102 computer and inform... 02 engineering and techn... 01 natural sciences
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60

Learn from the Past: Improving Model-Directed . . . Distance-based Bias
Martin Pelikan ; Mark W. Hauschild ; The Pennsylvania State University CiteSeerX Archives
http://medal-lab.org/files/2012007.pdf.

algorithm decomposable problems inductive transfer learning from experience efficiency enhancement
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