The aim of the paper is to present a newly developed approach for reliability-based design optimization. It is based on double loop framework where the outer loop of algorithm covers the optimization part of process of reliability-based optimization and reliability constrains are calculated in inner loop. Innovation of suggested approach is in application of newly developed optimization strateg...

A standard approach to solving inversion problems that involve many parameters uses gradient-based optimization to find the parameters that best match the data. We will discuss enabling techniques that facilitate application of this approach to large-scale computational simulations, which are the only way to investigate many complex physical phenomena. Such simulations may not seem to lend them...

In this paper, we investigate a specific interdomain traffic engineering problem: the outbound load balancing in a multi-homed Autonomous System (AS). We present an optimization-based approach for this problem without modifying BGP protocol in any way. In this approach, the load balancing problem is generalized as a black-box optimization problem. The Online Simulation system [1], specifically ...

The optimization of continuous parameters in electrotechnical design using electromagnetic field simulation is already standard. In this paper, we present a new sequential modelling approach for mixed-integer simulationbased optimization. We apply the method for the optimization of integerand real-valued geometrical parameters of the coils of a superconductive magnet.

We model automated shop floor production as a multiagent community. An artificial agent based approach has been developed to improve the design and control of such a community. The resulting community has two types of agents. The first is a cost simulation agent, and the second is an optimization agent whose learning mechanism is based on genetic algorithms. The output from the cost simulation ...

Traditional optimization approaches for handling uncertainty and risk typically require severe assumptions that are often not satisfied in complex practical settings. In an effort to overcome such limitations, several methods have been developed to handle uncertainty when the data and associated real world parameters do not behave according to classical assumptions. Two of the leading and most ...

abstract: in this paper, an exergy analysis approach is proposed for optimal design of distillation column by using simulated annealing algorithm. first, the simulation of a distillation column was performed by using the shortcut results and irreversibility in each tray was obtained. the area beneath the exergy loss profile was used as irreversibility index in the whole column. then, first opti...

Optimization of discrete event systems is often time consuming and also requires specific approaches due to the fact that general methodologies cannot be successfully applied to any kind of system. Conventional approaches use simulation as a black-box oracle to estimate performance at design points generated by a separate optimization algorithm. This decoupled approach fails to exploit an impor...

Accounting for the interannual climatic variations is a well-known issue for simulation-based studies of environmental systems. It often requires intensive sampling (e.g., averaging the simulation outputs over many climatic series), which hinders many sequential processes, in particular optimization algorithms. We propose here an approach based on a subset selection in a large basis of climatic...