Simultaneous multi-variable gradient-based optimization with multi-start is performed on a 300 MWe wet … optimization study involves 16 variables, three of which are integer valued, and 10 constraints with the objective of maximizing …-based analysis to facilitate convergence. Results of the multi-variable optimization are compared to a pressure sensitivity analysis …

Combinatorial Problems -- 10. Other Models for Robust Optimization -- 11. Open Problems. …This book offers a self-contained introduction to the world of robust combinatorial optimization. It explores decision …-making using the min-max and min-max regret criteria, while also delving into the two-stage and recoverable robust optimization …

excellence has become a key issue. This book introduces a novel approach focusing on the autonomous optimization of business … Optimization. …

efficiently control these systems and to satisfy the different interests as good as possible, mathematical optimization models can … be used to support operational decisions. Common approaches for reservoir optimization apply linear optimization … volume in a reservoir or to account for the hydropower equation. When the non-linear equations form a non-convex optimization …

We present an algorithm to solve capacity extension problems that frequently occur in energy system optimization models …