We present a versatile simulation based optimization environment. Arbitrary simulators can be integrated into this environment like in our case for Technology Computer Aided Design (TCAD) applications. The optimizer module is integrated in a simulation environment which performs job farming and load balancing and also extracts results from simulation data. In an example we present a doping prof...

The optimal profile of charging current for a lithium-ion battery is estimated using dynamic optimization implemented via control vector parameterization (CVP). An efficient reformulated model is used for simulating the system behavior of the Li-ion battery. Dynamic optimization is made possible due to the computationally inexpensive reformulated model. It is found that, if the battery is charg...

The design of robust time-optimal controllers using the sensitivity concept is presented in this paper. A parameter optimization problem is solved using the Switch Time Optimization algorithm to determine a bang-bang control profile that minimizes the maneuver time subject to the constraint that the sensitivity of the final states with respect to system parameters are zero. The proposed approac...

Nowadays websites provide a vast number of resources for users. Recommender systems have been developed as an essential element of these websites to provide a personalized environment for users. They help users to retrieve interested resources from large sets of available resources. Due to the dynamic feature of user preference, constructing an appropriate model to estimate the user preference ...

Built upon real-world SCADA and other measurements of a featured utility-scale testbed, this paper addresses the participation of customer side battery energy storage in providing peak load shaving at a 12.47 kV distribution feeder. A stochastic optimization-based battery operation framework is developed that enables feeder load peak shaving under offline (day-ahead) as well as online (close-to...

Applying meta search systems is a suitable method to support the user if there are many different services. Due to information splitting strategies of literature services existing meta systems either provide minimal integration or slow response times. The proposed approach combines techniques of personalization and query optimization in order to satisfy the user ́s demand for fast and comprehens...

This paper presents a method for the energy management of a set of smart homes, in which batteries, thermal storage and demand response are considered as flexibilities in order to achieve minimum operation costs. To cope with the uncertainty of load forecast, a two-stage stochastic optimization process is proposed, in which the first stage decision is the committed energy to be purchased, and t...

In general, university student have to decide own course schedule via course syllabus. However, at a large number of classes, it is very exhaustive to manually generate the course schedule for the students, due to various constraint condition or criteria. This paper has formalized this problem as a constraint satisfaction/optimization problem, developed an automated tool for a student personal ...