Deterministic optimization approaches have been well developed and widely used in the process industry to accomplish off-line and on-line process optimization. The challenging tas...
This paper introduces the Low-Power Intelligent Tool Environment (LITE), an object oriented tool set designed for power visualization, analysis, and optimization. These tools lever...
— Ergodic stochastic optimization (ESO) algorithms are proposed to solve resource allocation problems that involve a random state and where optimality criteria are expressed in t...
We consider the dynamic optimization of chemical processes with changes in the number of equilibrium phases. Recent work has shown that transitions in the number of phases can be ...
Arvind U. Raghunathan, M. Soledad Diaz, Lorenz T. ...
This paper proposes an equation-based multi-scenario iterative robust optimization methodology for analog/mixed-signal circuits. We show that due to local circuit performance mono...