Undoubtedly, humans have been analyzing the effectiveness of locational decisions since they inhabited their first cave. We use the term “facility” here in its broadest sense. That is, it is meant to include entities such as air and maritime ports, factories, warehouses, retail outlets, schools, hospitals, day-care centers, bus stops, subway stations, electronic switching centers, computer conc...

future increase of mobile communication subscribers will require a great capacity expansion of the cellular systems. in order to accommodate the increasing number of subscribers, the cell size will have to be much smaller than current size. therefore, it is predictable that the location updating and paging procedures will produce a major part of signaling traffic in these networks. this pape...

In this paper we proposed a Cellular Automaton based local algorithm to solve the autonomously sensor gathering problem in Mobile Wireless Sensor Networks (MWSN). In this problem initially the connected mobile sensors deployed in the network and goal is gather all sensors into one location. The sensors decide to move only based on their local information. Cellular Automaton (CA) as dynamical sy...

geological facies interpretation is essential for reservoir studying. the method of classification and identification seismic traces is a powerful approach for geological facies classification and distinction. use of neural networks as classifiers is increasing in different sciences like seismic. they are computer efficient and ideal for patterns identification. they can simply learn new algori...

in this paper we proposed a cellular automaton based local algorithm to solve the autonomously sensor gathering problem in mobile wireless sensor networks (mwsn). in this problem initially the connected mobile sensors deployed in the network and goal is gather all sensors into one location. the sensors decide to move only based on their local information. cellular automaton (ca) as dynamical sy...

This study presents a multimodal hub location problem which has the capability to split commodities by limited-capacity hubs and transportation systems, based on the assumption that demands are stochastic for multi-commodity network flows. In the real world cases, demands are random over the planning horizon and those which are partially fulfilled, are lost. Thus, the present study handles dema...

network location models comprise one of the main categories of location models. these models have various applications in regional and urban planning as well as in transportation, distribution, and energy management. in a network location problem, nodes represent demand points and candidate locations to locate the facilities. if the links network is unchangeably determined, the problem will be ...

Geological facies interpretation is essential for reservoir studying. The method of classification and identification seismic traces is a powerful approach for geological facies classification and distinction. Use of neural networks as classifiers is increasing in different sciences like seismic. They are computer efficient and ideal for patterns identification. They can simply learn new algori...

Continuous location problems and network location problems are generally viewed as completely different classes of problems. We will show in this paper that despite the classical distinction between continuous and discrete optimization, there are many similarities that can be exploited both for the development of new location models and for the derivation of theoretical properties and solution ...

some servers are to be located at nodes of a network. demand for services of these servers is located at each node and a subset of the nodes is to be chosen to locate one server in each. each customer selects a server with a probability dependent on distance and a certain amount of benefit is achieved after giving service to the customer. customers may waive receiving service with a known proba...