author: martin pelikan

Scalable Optimization via Probabilistic Modeling: From Algorithms to Applications

... solutions. In BOA, the population of new candidate solutions is half the size of the original population and the worst individuals in the original population get replaced by new solutions. In hBOA, the population of new solutions has ...

Hierarchical Bayesian Optimization Algorithm: Toward a New Generation of Evolutionary Algorithms

... ( BOA ) combines the idea of using probabilistic models to guide optimization and the methods for learning and ... BOA builds a Bayesian network for the set of promising solutions . New candidate solutions are generated by sampling ...

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