In recent years, it has become obvious that deterministic optimization of structures no longer is appropriate. Increasing demands with respect to safety, reliability and quality in structural engineering require the integration of probabilistic phenomena as well as the consideration of real-world stochastic processes induced in the structures. Within the present contribution two distinct resear...

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This paper proposes differential search (DS) algorithm to solve distribution system reliability optimization problem. Optimum number and location of remote control switch (RCS) have been found, in order to enhance reliability of a radial distribution system. A multi-objective formulation has been considered with a view to enhance reliability at a compromised cost. DS algorithm utilizes the Brow...

We developed a heuristic procedure to optimize WDM networks with reliability as objective function. Optimization experiments have been carried out on a case study network, exploring the trade-off between network cost and reliability.

Prof. dr. ir. Tiedo Tinga is presently chairing the Dynamics based Maintenance group at the University of Twente and is also associate professor Maintenance Technology at the Netherlands Defence Academy. He is leading research programs at both institutes on predictive maintenance, reliability engineering and maintenance optimization. Prior to joining the universities, he has been working as a s...

The paper is devoted to optimization of reserves and reliability level. The four approaches presented will need deeper scientific research. 1. The sum of reserves’ costs and losses of consumers is minimized to the determination of optimal reserves. 2. Two-stage approach: 2.1. The sum of reserves’ costs and consumers’ losses is minimized to the determination of optimal requirements for reliabili...

In condition based maintenance (CBM) optimization, the main optimization objectives include maximizing reliability and minimizing maintenance costs, which are often times conflicting to each other. In this work, we develop a physical programming based approach to deal with the multi-objective condition based maintenance optimization problem. Physical programming presents two major advantages: (...

This paper uses a simulation-based optimization framework to investigate the added value of using higherorder distributional information from detailed traffic simulators to address signal control problems. In particular, this paper uses higher-order travel time distributional information to derive signal plans that account for travel time reliability. In order to derive computationally efficien...

In this paper, an approach for conducting a Reliability-Based Design Optimization (RBDO) of truss structures with linked-discrete design variables is proposed. The sections of the truss members are selected from the AISC standard tables and thus the design variables that represent the properties of each section are linked. Latin hypercube sampling is used in the evaluation of the structural rel...

The IFCASL corpus is a French-German bilingual phonetic learner corpus designed, recorded and annotated in a project on individualized feedback in computer-assisted spoken language learning. The motivation for setting up this corpus was that there is no phonetically annotated and segmented corpus for this language pair of comparable of size and coverage. In contrast to most learner corpora, the...