![Loading...](https://link.springer.com/static/c4a417b97a76cc2980e3c25e2271af3129e08bbe/images/pdf-preview/spacer.gif)
-
Chapter and Conference Paper
A Heuristic Method to Optimize High-Dimensional Expensive Problems: Application to the Dynamic Optimization of a Waste Water Treatment Plant
The mathematical description of industrial processes usually requires the use of models consisting of large systems of differential and algebraic equations. The numerical simulations of such models may lead to...
-
Article
Improved scatter search for the global optimization of computationally expensive dynamic models
A new algorithm for global optimization of costly nonlinear continuous problems is presented in this paper. The algorithm is based on the scatter search metaheuristic, which has recently proved to be efficient...
-
Article
The GLOBAL optimization method revisited
The multistart clustering global optimization method called GLOBAL has been introduced in the 1980s for bound constrained global optimization problems with black-box type objective function. Since then the tec...
-
Article
Scatter search for chemical and bio-process optimization
Scatter search is a population-based method that has recently been shown to yield promising outcomes for solving combinatorial and nonlinear optimization problems. Based on formulations originally proposed in ...
-
Chapter and Conference Paper
Global Optimization of Bioprocesses using Stochastic and Hybrid Methods
In this contribution, we will focus on problems arising in the context of biochemical process engineering. Many of these problems can be stated as the optimization of non-linear dynamic systems. Relevant class...