Martin Pelikan

analysis bayesian-network bayesian-optimization-algorithm bayesiannetwork boa eda edas efficiency-enhancement estimation of distribution algorithms estimation-of-distribution-algorithms estimationofdistributionalgorithms evolutionary computation evolutionary-computation evolutionarycomputation genetic algorithm hboa hierarchical-bayesian-optimization-algorithm hybridization inductive transfer learning from experience local search optimization prior knowledge probabilisticmodel stochastic optimization transfer learning more…

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