— In this paper, the performances of the quasi-Newton BFGS algorithm, the NEWUOA derivative free optimizer, the Covariance Matrix Adaptation Evolution Strategy (CMA-ES), the Differential Evolution (DE) algorithm and Particle Swarm Optimizers (PSO) are compared experimentally on benchmark functions reflecting important challenges encountered in real-world optimization problems. Dependence of the...

X iv :1 30 5. 40 94 v2 [ qu an tph ] 4 J un 2 01 3 Evolutionary optimization of an experimental apparatus I. Geisel, a) K. Cordes, J. Mahnke, S. Jöllenbeck, J. Ostermann, J. Arlt, W. Ertmer, and C. Klempt Institut für Quantenoptik, Leibniz Universität Hannover, 30167 Hannover, Germany Institut für Informationsverarbeitung, Leibniz Universität Hannover, 30167 Hannover, Germany QUANTOP, Danish Na...

This study is based on optimizing the experimental conditions of biodiesel production by base-catalyzed transesterification using waste cooking oil (WCO). In this study, the key parameters varied were methanol (20, 25, 30, 35, and 40%), sodium hydroxide (0.4, 0.6, 0.8, 0.9 and 1.0g), reaction time (40, 60, 90, 100 and 120 minutes) and reaction temperature (50, 52, 55, 58, and 60 C). Maximum bio...

This paper deals with the utilizing of the Bayesian optimization algorithm (BOA) for multiobjective optimization of hypergraph partitioning. The main attention is focused on the incorporation of the Pareto optimality concept. We have modified the standard algorithm BOA for one criterion optimization according to well known niching techniques to find the Pareto optimal set. This approach was com...

−− Time optimal monomer and reactor temperature set-point profiles were computed and implemented experimentally for the control of copolymer composition and minimization of reaction time in emulsion copolymerization systems. Iterative Dynamic Programming (IDP) was used for the offline calculation of the optimal profiles. This approach can deal with constrained optimization of systems described ...