Robust optimization methodologies for water supply systems design

A ROBUST OPTIMIZATION MODEL FOR BLOOD SUPPLY CHAIN NETWORK DESIGN

The eternal need for humans' blood as a critical commodity makes the healthcare systems attempt to provide efficient blood supply chains (BSCs) by which the requirements are satisfied at the maximum level. To have an efficient supply of blood, an appropriate planning for blood supply chain is a challenge which requires more attention. In this paper, we address a mixed integer linear programming...

Optimization model of water supply networks design

The paper approaches the optimization of water distribution networks supplied from one or more node sources, according to demand variation. Traditionally, in pipe optimization, the objective function is always focused on the cost criteria of network components. In this study an improved linear model is developed, which has the advantage of using not only cost criteria, but also energy consumpti...

A Robust Control Design Technique for Discrete-Time Systems

A robust state feedback design subject to placement of the closed loop eigenvalues in a prescribed region of unit circle is presented. Quantitative measures of robustness and disturbance rejection are investigated. A stochastic optimization algorithm is used to effect trade-off between the free design parameters and to accomplish all the design criteria. A numerical example is given to illustra...

Isight Design Optimization Methodologies

Stochastic gradient methods for the optimization of water supply systems

Reductions of water deficits for users and energy savings are frequently conflicting issues when optimizing largescale multi-reservoir and multi-user water supply systems. Undoubtedly, a high level of uncertainty due to hydrologic input variability and water demand behaviour characterizes these problems. The aim of this paper is to provide a decision support for the water system authority, in o...