scholarly journals Architectural Models Enabled Dynamic Optimization for System-of-Systems Evolution

Complexity ◽  
2020 ◽  
Vol 2020 ◽  
pp. 1-14
Author(s):  
Zhemei Fang ◽  
Xiaozhou Zhou ◽  
Ani Song
Keyword(s):  
Dynamic Optimization ◽  
Systems Engineering ◽  
Conceptual Models ◽  
Mathematical Optimization ◽  
Optimal Solution ◽  
Optimization Methods ◽  
Optimization Method ◽  
System Of Systems ◽  
Architectural Representation ◽  
Architecture Framework

System of Systems (SoS) is designed to deliver value to participant stakeholders in a dynamic and uncertain environment where new systems are added and current systems are removed continuously and on their own volition. This requires effective evolution management at the SoS architectural level with adequate support of process, methods, and tools. This paper follows the principle of Model-Based Systems Engineering (MBSE) and develops a holistic framework integrating MBSE conceptual representations and approximate dynamic programming (ADP) to support the SoS evolution. The conceptual models provide a common architectural representation to improve communication between various decision makers while the dynamic optimization method suggests evolution planning decisions from the analytical perspective. The Department of Defense Architecture Framework (DoDAF) models using Systems Modeling Language (SysML) are used as MBSE artifacts to connect with ADP modeling elements through DoDAF metamodels to increase information traceability and reduce unnecessary information loss. Using a surface warfare SoS as an example, this paper demonstrates and explains the procedures of developing DoDAF models, mapping DoDAF models to ADP elements, formulating ADP formulation, and generating evolutionary decisions. The effectiveness of using ADP in supporting evolution to achieve a near-optimal solution that can maximize the SoS capability over time is illustrated by comparing ADP solution to other alternative solutions. The entire framework also sheds light on bridging the DoDAF-based conceptual models and other mathematical optimization methods.

Design Optimization Method for MR-Brake Actuators

2011 ◽  
Author(s):  
Ozan G. Erol ◽  
Hakan Gurocak ◽  
Berk Gonenc
Keyword(s):  
Optimal Solution ◽  
Volume Ratio ◽  
Optimization Methods ◽  
Search Space ◽  
Optimization Method ◽  
Friction Torque ◽  
Element Analysis ◽  
Taguchi Design Of Experiments ◽  
Variable Friction ◽  
Electronically Controllable

MR-brakes work by varying viscosity of a magnetorheological (MR) fluid inside the brake. This electronically controllable viscosity leads to variable friction torque generated by the actuator. A properly designed MR-brake can have a high torque-to-volume ratio which is quite desirable for an actuator. However, designing an MR-brake is a complex process as there are many parameters involved in the design which can affect the size and torque output significantly. The contribution of this study is a new design approach that combines the Taguchi design of experiments method with parameterized finite element analysis for optimization. Unlike the typical multivariate optimization methods, this approach can identify the dominant parameters of the design and allows the designer to only explore their interactions during the optimization process. This unique feature reduces the size of the search space and the time it takes to find an optimal solution. It normally takes about a week to design an MR-brake manually. Our interactive method allows the designer to finish the design in about two minutes. In this paper, we first present the details of the MR-brake design problem. This is followed by the details of our new approach. Next, we show how to design an MR-brake using this method. Prototype of a new brake was fabricated. Results of experiments with the prototype brake are very encouraging and are in close agreement with the theoretical performance predictions.

scholarly journals Effects of upper body parameters on biped walking efficiency studied by dynamic optimization

2016 ◽  
Vol 14 (1) ◽  
pp. 172988141668270 ◽  
Author(s):  
Kang An ◽  
Chuanjiang Li ◽  
Zuhua Fang ◽  
Chengju Liu
Keyword(s):  
Body Length ◽  
Dynamic Optimization ◽  
Optimal Solution ◽  
Optimization Method ◽  
Step Length ◽  
Joint Torque ◽  
Upper Body ◽  
Walking Gait ◽  
Body Parameters ◽  
Walking Efficiency

Walking efficiency is one of the considerations for designing biped robots. This article uses the dynamic optimization method to study the effects of upper body parameters, including upper body length and mass, on walking efficiency. Two minimal actuations, hip joint torque and push-off impulse, are used in the walking model, and minimal constraints are set in a free search using the dynamic optimization. Results show that there is an optimal solution of upper body length for the efficient walking within a range of walking speed and step length. For short step length, walking with a lighter upper body mass is found to be more efficient and vice versa. It is also found that for higher speed locomotion, the increase of the upper body length and mass can make the walking gait optimal rather than other kind of gaits. In addition, the typical strategy of an optimal walking gait is that just actuating the swing leg at the beginning of the step.

scholarly journals Fast Yaw Optimization for Wind Plant Wake Steering Using Boolean Yaw Angles

2021 ◽  
Author(s):  
Andrew P. J. Stanley ◽  
Christopher Bay ◽  
Rafael Mudafort ◽  
Paul Fleming
Keyword(s):  
Greedy Algorithm ◽  
Traditional Method ◽  
Mathematical Optimization ◽  
Optimization Methods ◽  
Optimization Method ◽  
New Method ◽  
Computationally Efficient ◽  
Gradient Based ◽  
Boolean Optimization ◽  
Plant Power

Abstract. In wind plants, turbines can be yawed into the wind to steer their wakes away from downstream turbines and achieve an overall increase in plant power. Mathematical optimization is typically used to determine the best yaw angles at which to operate the turbines in a plant. In this paper, we present a new method to rapidly determine the yaw angles in a wind plant. In this method, we define the turbine yaw angles as Boolean—either yawed at a predefined angle or nonyawed—as opposed to the typical methods of formulating yaw angles as continuous or with fine discretizations. We then optimize which turbines should be yawed with a greedy algorithm that sweeps through the turbines from the most upstream to the most downstream. We demonstrate that our new Boolean optimization method can find turbine yaw angles that perform well compared to a traditionally used gradient-based optimizer where the yaw angles are defined as continuous. There is less than 0.6 % difference in the optimized power between the two optimization methods for randomly placed turbine layouts. Additionally, we show that our new method is much more computationally efficient than the traditional method. For plants with nonzero optimal yaw angles, our new method is generally able to solve for the turbine yaw angles 50–150 times faster, and in some extreme cases up to 500 times faster, than the traditional method.

The Research of Dynamic Optimization Method on Automobile Shock Absorption Twist Bar Spring Design

2009 ◽  
Vol 16-19 ◽  
pp. 415-419
Author(s):  
Gui Qiu Song
Keyword(s):  
Dynamic Optimization ◽  
Optimization Design ◽  
Optimization Methods ◽  
Optimization Method ◽  
Random Load ◽  
Optimal Method ◽  
New Approach ◽  
Recent Developments ◽  
Spring System ◽  
Automobile Components

This paper presents recent developments in the study of optimization methods for industrial product design, and provides a method of dynamic optimization design to calculate the optimal loading property of automobile twist bar spring system. This is a different approach to traditional systems that is based on dynamic and random load, applying the basic theory and methods of dynamic design, according to the multi-goal characteristic of automobile twist bar spring. This paper presents a thorough analysis dynamic quadratic fuzzy optimal method of double-goal and the method to determine paper optimal gene. This method is used to automobile twist bar spring design, the result shows that the ability of spring loading is improved; the weight of structure is reduced. The new approach makes the vibration absorbing system more reliable and comfortable. The results presented in this paper are not only applicable to automobile twist bar spring systems but all systems that possess dynamic, random and fuzzy characteristics. This work finds applications in automobile components design and dynamic character analysis.

S-Metaheuristics Approach to Solve Traveling Salesman Problem

Jurnal METRIS ◽  
2020 ◽  
Vol 21 (02) ◽  
pp. 111-115
Author(s):  
Agung Chandra ◽  
Aulia Naro
Keyword(s):  
State Of The Art ◽  
Optimal Solution ◽  
Optimization Methods ◽  
Optimization Method ◽  
Complex Problem ◽  
Traveling Salesman ◽  
Solution Technique ◽  
Metaheuristic Algorithm ◽  
Shortest Distance ◽  
Single Solution

Metaheuristic algorithm is a state of the art optimization method which suitable for solving large and complex problem. Single solution technique – Smetaheuristic is one of metaheuristic algorithm that search near optimal solution and known as exploitation based. The research conducted to seek a better solution for deliverying goods to 29 destinations by comparing two well known optimization methods that can produce the shortest distance: Simulated Annealing (SA) and Tabu Search (TS). The result shows that TS – 107 KM has a shorter distance than SA – 119 KM. Exploration based method should be conducted for next research to produce information in which one is a better method

Comparative Study of Different Optimization Algorithms Used for Obtaining Diesel-Biodiesel Blends

2019 ◽  
Vol 70 (6) ◽  
pp. 1893-1896
Author(s):  
Stefan Sandru ◽  
Ion Onutu
Keyword(s):  
Artificial Intelligence ◽  
Genetic Algorithms ◽  
Linear Programming ◽  
Classical Method ◽  
Optimal Solution ◽  
Optimization Methods ◽  
Optimization Method ◽  
Biodiesel Blends ◽  
Dual Simplex ◽  
Linear Programming Problems

The purpose of this paper is to compare two different optimization methods, used in acquiring diesel-biodiesel blends. There were used five types of samples in order to enable the optimization of the final blend: there were chosen two types of hydrofined diesel fuel and there were synthesized three original types of biodiesel. The first optimization method used, dual simplex, is a classical method being used in solving linear programming problems. The second optimization method, the genetic algorithms, falls in the type of artificial intelligence algorithms, being an evolutionary method used when the problem requires searching an optimal solution in a great variety of valid solutions.

scholarly journals Dynamic optimization analysis of hydraulic pipeline system based on a developed response surface method

2020 ◽  
Vol 2 (2) ◽  
Author(s):  
Hongquan QU ◽  
Jianlin SUN ◽  
Xu YAN ◽  
Yuanlin ZHANG ◽  
Xuefeng LIU ◽  
...  
Keyword(s):  
Response Surface ◽  
Dynamic Optimization ◽  
Optimal Solution ◽  
Optimization Procedure ◽  
Optimization Method ◽  
Vibration Characteristics ◽  
Surface Model ◽  
Pipeline System ◽  
Long Distance ◽  
Offshore Pipeline

When designing a complex pipeline with long distance and multi-supports for offshore platform, it is necessary to analyze the vibration characteristics of the complex pipeline system to ensure that there is no harmful resonance in the working conditions. Therefore, the optimal layout of support is an effective method to reduce the vibration response of hydraulic pipeline system. In this paper, a developed dynamic optimization method for the complex pipeline is proposed to investigate the vibration characteristics of complex pipeline with multi-elastic supports. In this method, the Kriging response surface model between the support position and pipeline is established. The position of the clamp in the model is parameterized and the optimal solution of performance index is obtained by genetic algorithm. The number of clamps and the interval between clamps are considered as the constraints of layout optimization, and the optimization objective is the natural frequencies of pipeline. Taking a typical offshore pipeline as example to demonstrate the effectiveness of the proposed method, the results show that the vibration performance of the hydraulic pipeline system is distinctly improved by the optimization procedure, which can provide reasonable guidance for the design of complex hydraulic pipeline system.

scholarly journals Urban Drainage Network Rehabilitation Considering Storm Tank Installation and Pipe Substitution

Water ◽  
2019 ◽  
Vol 11 (3) ◽  
pp. 515 ◽  
Author(s):  
Ulrich Ngamalieu-Nengoue ◽  
Pedro Iglesias-Rey ◽  
F. Martínez-Solano ◽  
Daniel Mora-Meliá ◽  
Juan Saldarriaga Valderrama
Keyword(s):  
Cost Optimization ◽  
Optimal Solution ◽  
Optimization Methods ◽  
Optimization Method ◽  
Drainage Network ◽  
Storm Water Management Model ◽  
Drainage Networks ◽  
Combined Use ◽  
The City ◽  
Swmm Model

The drainage networks of our cities are currently experiencing a growing increase in runoff flows, caused mainly by the waterproofing of the soil and the effects of climate change. Consequently, networks originally designed correctly must endure floods with frequencies much higher than those considered in the design phase. The solution of such a problem is to improve the network. There are several ways to rehabilitate a network: conduit substitution as a former method or current methods such as storm tank installation or combined use of conduit substitution and storm tank installation. To find an optimal solution, deterministic or heuristic optimization methods are used. In this paper, a methodology for the rehabilitation of these drainage networks based on the combined use of the installation of storm tanks and the substitution of some conduits of the system is presented. For this, a cost-optimization method and a pseudo-genetic heuristic algorithm, whose efficiency has been validated in other fields, are applied. The Storm Water Management Model (SWMM) model for hydraulic analysis of drainage and sanitation networks is used. The methodology has been applied to a sector of the drainage network of the city of Bogota in Colombia, showing how the combined use of storm tanks and conduits leads to lower cost rehabilitation solutions.

scholarly journals The Hybrid Invasive Weed Optimization-Shuffled Frog-leaping Algorithm Applied to Optimal Design of Frame Structures

2019 ◽  
Author(s):  
Ali Kaveh ◽  
Siamak Talatahari ◽  
Nima Khodadadi
Keyword(s):  
Optimization Algorithm ◽  
Optimal Solution ◽  
Optimization Methods ◽  
Optimization Method ◽  
Population Based ◽  
Frame Structures ◽  
Invasive Weed Optimization ◽  
Shuffled Frog Leaping Algorithm ◽  
Invasive Weed ◽  
Shuffled Frog Leaping

In this article, an efficient hybrid optimization algorithm based on invasive weed optimization algorithm and shuffled frog-leaping algorithm is utilized for optimum design of skeletal frame structures. The shuffled frog-leaping algorithm is a population-based cooperative search metaphor inspired by natural memetic, and the invasive weed optimization algorithm is an optimization method based on dynamic growth of weeds colony. In the proposed algorithm, shuffled frog-leaping algorithm works to find optimal solution region rapidly, and invasive weed optimization performs the global search. Different benchmark frame structures are optimized using the new hybrid algorithm. Three design examples are tested using the new method. This algorithm converges to better or at least the same solutions compared the utilized methods with a smaller number of analyses. The outcomes are compared to those obtained previously using other recently developed meta-heuristic optimization methods.

scholarly journals Dynamic Optimization of Inner Dump in Open-Pit Mining With Irregular Boundary

CONVERTER ◽  
2021 ◽  
pp. 456-469
Author(s):  
Haoran Li, Et al.
Keyword(s):  
Dynamic Optimization ◽  
Optimal Solution ◽  
Optimization Method ◽  
Production Model ◽  
Open Pit ◽  
Open Pit Mining ◽  
Internal Drainage ◽  
Irregular Boundary ◽  
Established Relationship ◽  
The Relationship

In order to maximize the profit of open-pit mining with irregular boundary, a dynamic optimization method of internal drainage field is proposed according to the open-pit mining principle. The method according to the site within the space and the relationship between the volume of debris, there will be no rules state within the cross mining row of open pit mining engineering is divided into three periods, namely: site within the space of stage saturated site, inner space, site in excess phase space; By building the stope - inside the mine production model, will work in mine stope and line contact with the three periods established relationship, analyses the various periods stripping engineering problems, and puts forward the corresponding solutions, and for optimal solution. This method is applied to the henan open-pit mine of hollin, a state power investment group. In another mining period, the internal drainage space is fully utilized, which reduces the area of land expropriation by the external drainage and achieves the purpose of reducing cost and increasing efficiency.

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