Computational characterization of HPGe detectors usable for a wide variety of source geometries by using Monte Carlo simulation and a multi-objective evolutionary algorithm

2017 ◽  
Vol 858 ◽  
pp. 113-122 ◽  
Author(s):  
J. G. Guerra ◽  
J. G. Rubiano ◽  
G. Winter ◽  
A. G. Guerra ◽  
H. Alonso ◽  
...  
Keyword(s):  
Monte Carlo Simulation ◽  
Monte Carlo ◽  
Evolutionary Algorithm ◽  
Multi Objective ◽  
Hpge Detectors

CAT III Autoland Control Laws Design Based on Multi-Objective Optimization

2012 ◽  
Vol 452-453 ◽  
pp. 548-552 ◽  
Author(s):  
Hui Jie Li ◽  
Ling Yu Yang ◽  
Gong Zhang Shen
Keyword(s):  
Monte Carlo Simulation ◽  
Monte Carlo ◽  
Multi Objective Optimization ◽  
Control Laws ◽  
Multi Objective ◽  
Automatic Landing ◽  
Simulation Results ◽  
Free Parameters ◽  
Structure Measurement ◽  
Landing Control

The CAT III longitudinal automatic landing control laws based on multi-objective optimization is discussed. Firstly summarized the CAT III airworthiness criteria and transformed into the specifications of control system. The configuration of the longitudinal automatic landing controllers is proposed secondly and multi-objective optimization is used to tradeoff free parameters of the controllers. The Monte Carlo simulation results show the designed control laws fulfill the CAT III requirements, when there are uncertainties of structure, measurement error and disturbances.

Robustness-based multi-objective optimization for repetitive projects under work continuity uncertainty

2020 ◽  
Vol 27 (10) ◽  
pp. 3095-3113
Author(s):  
Lihui Zhang ◽  
Guyu Dai ◽  
Xin Zou ◽  
Jianxun Qi
Keyword(s):  
Monte Carlo Simulation ◽  
Monte Carlo ◽  
Negative Impact ◽  
Project Performance ◽  
Project Managers ◽  
Multi Objective Optimization ◽  
Negative Effects ◽  
Content Type ◽  
Multi Objective ◽  
New Type

PurposeInterrupting work continuity provides a way to improve some project performance, but unexpected and harmful interruptions may impede the implementation. This paper aims to mitigate the negative impact caused by work continuity uncertainty based on the notion of robustness.Design/methodology/approachThis paper develops a float-based robustness measurement method for the work continuity uncertainty in repetitive projects. A multi-objective optimization model is formulated to generate a schedule that achieves a balance between crew numbers and robustness. This model is solved using two modules: optimization module and decision-making module. The Monte Carlo simulation is designed to validate the effectiveness of the generated schedule.FindingsThe results confirmed that it is necessary to consider the robustness as an essential factor when scheduling a repetitive project with uncertainty. Project managers may develop a schedule that is subject to delays if they only make decisions according to the results of the deadline satisfaction problem. The Monte Carlo simulation validated that an appropriate way to measure robustness is conducive to generating a schedule that can avoid unnecessary delay, compared to the schedule generated by the traditional model.Originality/valueAvailable studies assume that the work continuity is constant, but it cannot always be maintained when affected by uncertainty. This paper regards the work continuity as a new type of uncertainty factor and investigates how to mitigate its negative effects. The proposed float-based robustness measurement can measure the ability of a schedule to absorb unpredictable and harmful interruptions, and the proposed multi-objective scheduling model provides a way to incorporate the uncertainty into a schedule.

X‐ray fluorescence spectroscopy and Monte Carlo simulation for quantitative characterization of Bolivian pre‐Hispanic golden artefacts

2020 ◽  
Vol 50 (1) ◽  
pp. 53-67
Author(s):  
Fabio L. Melquiades ◽  
Sandro V. Santos ◽  
Fabio Lopes ◽  
Juan Villanueva ◽  
Jorge L. Ticona ◽  
...  
Keyword(s):  
Monte Carlo Simulation ◽  
Monte Carlo ◽  
Fluorescence Spectroscopy ◽  
Quantitative Characterization ◽  
X Ray
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