نتایج جستجو برای: dynamic expansion planning

تعداد نتایج: 727470  

Journal: :international journal of advanced design and manufacturing technology 0
j. shahbazi karami university of shahid rajaee teacher training, iran s. sepahi-boroujeni university of bu-ali sina, iran. mohsen khodsetan school of mechanical engineering, college of engineering, university of tehran, tehran, iran. *corresponding author

expansion equal channel angular extrusion (exp-ecae) is a severe plastic deformation (spd) operation for processing bulk materials. in the current study, aa7075 al was spd-processed by expansion equal channel angular extrusion (ex-ecae) at various temperatures and ram velocities. then, using split hopkinson pressure bar (shpb), the severely deformed products were compressed at room temperature ...

2010
S. Baskar P. S. Ramkumar R. Kesavan

This paper presents a new heuristic algorithm useful for long-term planning of survivable WDM networks. A multi-period model is formulated that combines network topology design and capacity expansion. The ability to determine network expansion schedules of this type becomes increasingly important to the telecommunications industry and to its customers. The solution technique consists of a Genet...

B. K. Katti G. Joshi Krishna Saw

Rapid urban growth is resulting into increase in travel demand and private vehicle ownership in urban areas. In the present scenario the existing infrastructure has failed to match the demand that leads to traffic congestion, vehicular pollution and accidents. With traffic congestion augmentation on the road, delay of commuters has increased and reliability of road network has decreased. Four s...

Journal: :Neural networks : the official journal of the International Neural Network Society 2005
Dmitry V. Lebedev Jochen J. Steil Helge J. Ritter

We introduce a new type of neural network--the dynamic wave expansion neural network (DWENN)--for path generation in a dynamic environment for both mobile robots and robotic manipulators. Our model is parameter-free, computationally efficient, and its complexity does not explicitly depend on the dimensionality of the configuration space. We give a review of existing neural networks for trajecto...

Journal: :CoRR 2001
Roman Barták

Global constraints proved themselves to be an efficient tool for modelling and solving large-scale real-life combinatorial problems. They encapsulate a set of binary constraints and using global reasoning about this set they filter the domains of involved variables better than arc consistency among the set of binary constraints. Moreover, global constraints exploit semantic information to achie...

2011
Hong Kim Han-Suk Sohn Dennis L. Bricker

This paper presents an optimization model and its application to a generation expansion planning problem. The proposed model has a generalized network structure and is exploited effectively by Benders’ decomposition algorithm, where a master problem generates trial expansion plans and a set of subproblems compute production cost and system reliability for the trial plan. The applicability of ou...

Journal: :ECTI Transactions on Electrical Engineering, Electronics, and Communications 2022

Distribution network expansion planning is a technique for managing the system effectively in face of future challenges. This work investigates design mesh distribution to allocate substations, DGs, voltage regulators, feeder routing, switch placement, and integration multiple energy carrier systems. Dynamic modeling multi-objective proposed this study identify optimal plan operational strategy...

Journal: :Artif. Intell. 2015
Glenn Wagner Howie Choset

Planning optimal paths for large numbers of robots is computationally expensive. In this paper, we introduce a new framework for multirobot path planning called subdimensional expansion, which initially plans for each robot individually, and then coordinates motion among the robots as needed. More specifically, subdimensional expansion initially creates a one-dimensional search space embedded i...

Journal: :Applied sciences 2021

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