Martin Pelikan

33 Abonné

optimization edas evolutionarycomputation estimationofdistributionalgorithms evolutionary computation estimation of distribution algorithms bayesiannetwork probabilisticmodel estimation-of-distribution-algorithms learning from experience stochastic optimization inductive transfer transfer learning efficiency-enhancement genetic algorithm prior knowledge efficiencyenhancement geneticalgorithm bias learning evolutionary-computation eﬃciency enhancement decomposable problems hierarchical bayesian optimization algorithm cellular automata population dynamics computational models conway's game of life local search image segmentation neighborhood image processing model-directed hybridization spin glass efficiency enhancement additively decomposable problems bayesian network probabilistic model linkage tree linkage learning genetic algorithms nk landscapes problem difficulty epistasis spurious-dependencies model-accuracy estimation-of landscapes landscape-analysis problem-difficulty e hybridization search local spinglass nklandscape incremental sherrington-kirkpatrick spin-glass sk ground-states steady-state

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Martin Pelikan

Présentations

Estimation of Distribution Algorithms Tutorial

Order Or Not: Does Parallelization of Model Building in hBOA Affect Its Scalability?

Hybrid Evolutionary Algorithms on Minimum Vertex Cover for Random Graphs

Analyzing Probabilistic Models in Hierarchical BOA on Traps and Spin Glasses

The Bayesian Optimization Algorithm with Substructural Local Search

Computational complexity and simulation of rare events of Ising spin glasses

Fitness inheritance in the Bayesian optimization algorithm

Finding Ground States of Sherrington-Kirkpatrick Spin Glasses with Hierarchical BOA and Genetic Algorithms

Efficiency Enhancement of Estimation of Distribution Algorithms

iBOA: The Incremental Bayesian Optimization Algorithm

Using Previous Models to Bias Structural Learning in the Hierarchical BOA

Initial-Population Bias in the Univariate Estimation of Distribution Algorithm

Performance of Evolutionary Algorithms on NK Landscapes with Nearest Neighbor Interactions and Tunable Overlap

Analysis of Evolutionary Algorithms on the One-Dimensional Spin Glass with Power-Law Interactions

Intelligent Bias of Network Structures in the Hierarchical BOA

Effects of a Deterministic Hill climber on hBOA

Spurious Dependencies and EDA Scalability

Using Problem-Specific Knowledge and Learning from Experience in Estimation of Distribution Algorithms

Pairwise and Problem-Specific Distance Metrics in the Linkage Tree Genetic Algorithm

Distance-based bias in model-directed optimization of additively decomposable problems

Image segmentation using a genetic algorithm and hierarchical local search

Population Dynamics in Conway’s Game of Life and its Variants

Documents

Transfer Learning, Soft Distance-Based Bias, and the Hierarchical BOA

J’aime

Logic + Emotion: One Year Later

Empirical Analysis of ideal recombination on random decomposable problems

Towards billion bit optimization via parallel estimation of distribution algorithm