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path-optimization
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Total fuel reduction via formation flights: a new approach to air-corridor path optimization
, Article AIAA AVIATION 2014 -14th AIAA Aviation Technology, Integration, and Operations Conference ; 2014 ; Malaek, S. M. B ; Sharif University of Technology
Abstract
This paper presents a new approach to better utilize international air-corridors for formation flights. Using Particle Swarm Optimization, we show how different long-range flights can be brought together to form a formation. The idea serves both to increase international air-corridor capacities together and to decrease fuel consumption up to 8-10%. Case studies show that there are many places which such an approach could effectively be implemented to help cope with increase in fuel price as well as the demand for aerial transport of passengers and goods
Geomechanical Model for Well Path Optimization Based on Inclination, Azimuth and ROP
, M.Sc. Thesis Sharif University of Technology ; Shad, Saeed (Supervisor)
Abstract
The wellbore instability increases the cost of drilling operations due to problems such as pipe sticking and lost circulation, so it is important to find the optimal well path. In this research, building a one-dimensional geomechanical model is investigated, and then the wellbore stability during drilling in different layers is evaluated. The geomechanical model is constructed using available data (well log data, mud logging unit data, and drilling reports) in a study reservoir and the optimal well path is determined by the appropriate inclination and azimuth using the geomechanical properties of the field and the stress regime, taking into account the wellbore stability and shear failure...
Adaptive 2D-path optimization of steerable bevel-tip needles in uncertain model of brain tissue
, Article 2009 WRI World Congress on Computer Science and Information Engineering, CSIE 2009, Los Angeles, CA, 31 March 2009 through 2 April 2009 ; Volume 5 , 2009 , Pages 254-260 ; 9780769535074 (ISBN) ; Torabi, M ; Sharif University of Technology
2009
Abstract
Although there are many works in which path planning of robots is studied, but path planning of the bevel-tip needles with highly flexible body is different and difficult due to unique properties of soft tissues. Real soft tissues are nonhomogeneously elastic and uncertainly deformable and hence, during needle motions the planned path changes unknowingly. In this paper, a novel adaptive path planning of bevel-tip needles inside the uncertain brain tissue is presented. The proposed approach is based on minimization of a Lyapanov energy function used as the cost function which consists of 6 partial costs: path length, number of changes in bevel direction, tissue deformation, horizontal and...
A price-based optimal routing algorithm in Wireless Sensor Networks
, Article 7th International Conference on Wireless Communications, Networking and Mobile Computing, WiCOM 2011, 23 September 2011 through 25 September 2011 ; September , 2011 , Page(s): 1 - 6 ; ISSN : 2161-9646 ; 9781424462520 (ISBN) ; Arisian, B ; Sharif University of Technology
2011
Abstract
Routing methods and algorithms in "Wireless Sensor Networks" attract researchers' attention a lot recently. In order to find the optimal path in WSNs depending on their type and application, various algorithms are proposed. In this paper, an optimal path finding algorithm based on "Game Theory" is discussed and improved. This algorithm finds a path witch is optimizing network lifetime, load distribution, and path reliability simultaneously
A Game Theory approach for optimal routing: In Wireless Sensor Networks
, Article 2010 6th International Conference on Wireless Communications, Networking and Mobile Computing, WiCOM 2010, 23 September 2010 through 25 September 2010 ; September , 2010 ; 9781424437092 (ISBN) ; Eshghi, K ; Sharif University of Technology
2010
Abstract
In this paper, a "Game Theory" approach for finding an optimal path in a "Wireless Sensor Network" is discussed. WSN is one of the most interesting research fields in the communication networks, and is the center of attention in recent years. In our model, a pricing and payment technique is presented to obtain an optimal path in a WSN by considering reliability, energy and traffic load. The proposed algorithm is able to find a path which improves network lifetime, load distribution and path reliability