Advances in genotyping technologies have provided breeders with access to the genotypic values of several thousand genetic markers in their breeding materials. Combined with phenotypic data, this ...

Data and code associated with paper "On the development of a practical Bayesian optimisation algorithm for expensive experiments and simulations with changing environmental conditions" currently in ...

Abstract: This paper investigates a production decision optimisation model based on heuristic algorithms, using genetic algorithms, simulated annealing algorithms, Monte Carlo algorithms, etc., with ...

National Center of Competence in Research (NCCR) “Molecular Systems Engineering”, 4058 Basel, Switzerland National Center of Competence in Research (NCCR) “Catalysis”, ETHZ, 8093 Zurich, Switzerland ...

This project applies Bayesian Optimization (BO) to optimize the structural features of a simulated drug candidate. The goal is to maximize bioavailability (measured by logP) while keeping the molecule ...

Abstract: The Bayesian Optimisation Algorithm (BOA) is an Estimation of Distribution Algorithm (EDA) that uses a Bayesian network as probabilistic graphical model (PGM). During the evolutionary ...

The Computational Optimisation Group has a 30-year track record of research in decision-making under uncertainty, stochastic and robust optimisation. Current interests of the group include ...