This paper present a general method coupling genetic algorithms and Monte-Carlo simulation to address simulation optimization issues in the field of engineering asset management. After a description of the method, parameters tuning issues are analyzed through a test-case.

The idea that Monte Carlo simulation can not be applied to the pricing of options (real or financial) with early exercise features has been overridden in the light of new research results in the last decade. This paper attempts to contribute to this revived interest on Monte Carlo simulation valuation, by applying the proposed least–squares simulation method to the valuation of a hypothetical n...

This paper proposes a novel hybrid Monte Carlo simulation-genetic approach (MCS-GA) for optimal operation of a distribution network considering renewable energy generation systems (REGSs) and battery energy storage systems (BESSs). The aim of this paper is to design an optimal charging /discharging scheduling of BESSs so that the total daily profit of distribution company (Disco) can be maximiz...

This paper deals with the study of balanced circular formation for n unicycles agents. It has been presented in the literature that there exists more than one balanced circular formation when the agents are following cyclic pursuit strategy. We modify cyclic pursuit strategy by introducing a parameter called deviation angle with the hope to get unique equilibrium formation. The modified strateg...

The majority of fMRI studies obtain functional information using statistical tests based on the magnitude image reconstructions. Recently, a complex correlation (CC) test was proposed based on the complex image data in order to take advantage of phase information in the signal. However, the CC test ignores additional phase information in the baseline component of the data. In this paper, a new ...

Random matrix theory is used to assess the significance of weak correlations and is well established for Gaussian statistics. However, many complex systems, with stock markets as a prominent example, exhibit statistics with power-law tails, that can be modelled with Lévy stable distributions. We review comprehensively the derivation of an analytical expression for the spectra of covariance matr...

The uniform random number can be manipulated to simulate the characteristics of any probability density function. For power system reliability analysis the exponential and the Weibull distributions are well suited. Simulated exponential and Weibull random variables can be obtained from uniform (0,1) RNs by making use of the fact that the cumulative density function (CDF) is uniform between zero...