Introducing Various Novel Optimization Techniques for Task Allocation in Multi-Vehicles Systems

2019 ◽  
Author(s):  
Wessam Shoman ◽  
Mahmoud El-Barrawy ◽  
Youssef Mekhail ◽  
Ali B. Bahgat ◽  
El-Sayed I. Morgan
Keyword(s):  
Task Allocation ◽  
Optimization Techniques

scholarly journals Multi mobile robot task allocation using multi-objective optimization techniques

2017 ◽  
Author(s):  
Αβραάμ Τολμίδης
Keyword(s):  
Mobile Robot ◽  
Task Allocation ◽  
Optimization Techniques ◽  
Multi Objective Optimization ◽  
Multi Objective ◽  
Robot Task

Σκοπός της διδακτορικής αυτής διατριβής είναι η κατανομή σε πραγματικό χρόνο εργασιών διαφορετικών τύπων, σε έξυπνους πράκτορες διαφορετικού τύπου. Απώτερος σκοπός είναι η βέλτιστη κατανομή των εργασιών στους καταλληλότερους πράκτορες, ικανοποιώντας στο  μέγιστο δυνατό βαθμό τους ορισθέντες στόχους, οι οποίοι είναι περισσότεροι του ενός. Ταυτόχρονα, επιχειρείται η εισαγωγή ενός μηχανισμού ο οποίος θα βελτιώσει τον τρόπο με τον  οποίο οι πράκτορες κινούνται προς την θέση στην οποία πρέπει να εκτελεστεί η κάθε εργασία,  σύμφωνα με επίσης πολλαπλά κριτήρια. 

scholarly journals Optimal Task Allocation in Wireless Sensor Networks by Means of Social Network Optimization

Mathematics ◽  
2019 ◽  
Vol 7 (4) ◽  
pp. 315 ◽  
Author(s):  
Alessandro Niccolai ◽  
Francesco Grimaccia ◽  
Marco Mussetta ◽  
Riccardo Zich
Keyword(s):  
Wireless Sensor Networks ◽  
Social Network ◽  
Sensor Networks ◽  
Network Optimization ◽  
Task Allocation ◽  
Life Cycles ◽  
Optimization Techniques ◽  
Wireless Sensor ◽  
Computational Time ◽  
Minimum Number

Wireless Sensor Networks (WSN) have been widely adopted for years, but their role is growing significantly currently with the increase of the importance of the Internet of Things paradigm. Moreover, since the computational capability of small-sized devices is also increasing, WSN are now capable of performing relevant operations. An optimal scheduling of these in-network processes can affect both the total computational time and the energy requirements. Evolutionary optimization techniques can address this problem successfully due to their capability to manage non-linear problems with many design variables. In this paper, an evolutionary algorithm recently developed, named Social Network Optimization (SNO), has been applied to the problem of task allocation in a WSN. The optimization results on two test cases have been analyzed: in the first one, no energy constraints have been added to the optimization, while in the second one, a minimum number of life cycles is imposed.

Review on the aerodynamics of intermediate compressor duct

2020 ◽  
Vol 14 (4) ◽  
pp. 7446-7468
Author(s):  
Manish Sharma ◽  
Beena D. Baloni
Keyword(s):  
High Pressure ◽  
Pressure Loss ◽  
Flow Analysis ◽  
Outer Wall ◽  
Optimization Techniques ◽  
Optimum Pressure ◽  
Research Areas ◽  
Static Pressure Distribution ◽  
High Pressure Compressor ◽  
Pressure Compressor

In a turbofan engine, the air is brought from the low to the high-pressure compressor through an intermediate compressor duct. Weight and design space limitations impel to its design as an S-shaped. Despite it, the intermediate duct has to guide the flow carefully to the high-pressure compressor without disturbances and flow separations hence, flow analysis within the duct has been attractive to the researchers ever since its inception. Consequently, a number of researchers and experimentalists from the aerospace industry could not keep themselves away from this research. Further demand for increasing by-pass ratio will change the shape and weight of the duct that uplift encourages them to continue research in this field. Innumerable studies related to S-shaped duct have proven that its performance depends on many factors like curvature, upstream compressor’s vortices, swirl, insertion of struts, geometrical aspects, Mach number and many more. The application of flow control devices, wall shape optimization techniques, and integrated concepts lead a better system performance and shorten the duct length.  This review paper is an endeavor to encapsulate all the above aspects and finally, it can be concluded that the intermediate duct is a key component to keep the overall weight and specific fuel consumption low. The shape and curvature of the duct significantly affect the pressure distortion. The wall static pressure distribution along the inner wall significantly higher than that of the outer wall. Duct pressure loss enhances with the aggressive design of duct, incursion of struts, thick inlet boundary layer and higher swirl at the inlet. Thus, one should focus on research areas for better aerodynamic effects of the above parameters which give duct design with optimum pressure loss and non-uniformity within the duct.

Application of Computational Mechanics to Tire Design—Yesterday, Today, and Tomorrow

2011 ◽  
Vol 39 (4) ◽  
pp. 223-244 ◽  
Author(s):  
Y. Nakajima
Keyword(s):  
Finite Element ◽  
New Technologies ◽  
Computational Mechanics ◽  
Design Procedure ◽  
Side Wall ◽  
Rolling Resistance ◽  
Optimization Techniques ◽  
Stress Strain ◽  
Element Analysis ◽  
Crown Shape

Abstract The tire technology related with the computational mechanics is reviewed from the standpoint of yesterday, today, and tomorrow. Yesterday: A finite element method was developed in the 1950s as a tool of computational mechanics. In the tire manufacturers, finite element analysis (FEA) was started applying to a tire analysis in the beginning of 1970s and this was much earlier than the vehicle industry, electric industry, and others. The main reason was that construction and configurations of a tire were so complicated that analytical approach could not solve many problems related with tire mechanics. Since commercial software was not so popular in 1970s, in-house axisymmetric codes were developed for three kinds of application such as stress/strain, heat conduction, and modal analysis. Since FEA could make the stress/strain visible in a tire, the application area was mainly tire durability. Today: combining FEA with optimization techniques, the tire design procedure is drastically changed in side wall shape, tire crown shape, pitch variation, tire pattern, etc. So the computational mechanics becomes an indispensable tool for tire industry. Furthermore, an insight to improve tire performance is obtained from the optimized solution and the new technologies were created from the insight. Then, FEA is applied to various areas such as hydroplaning and snow traction based on the formulation of fluid–tire interaction. Since the computational mechanics enables us to see what we could not see, new tire patterns were developed by seeing the streamline in tire contact area and shear stress in snow in traction.Tomorrow: The computational mechanics will be applied in multidisciplinary areas and nano-scale areas to create new technologies. The environmental subjects will be more important such as rolling resistance, noise and wear.

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