List of Articles الگوریتم رقابت استعماری

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  1 - Presenting a method based on computational intelligence to improve energy consumption in smart wireless sensor networks
  faezeh talebian حسن  ختن¬لو منصور  اسماعیل¬پور
  Recent advances in the field of electronics and wireless communication have given the ability to design and manufacture sensors with low power consumption, small size, reasonable price and various uses. The limited energy capacity of sensors is a major challenge that af More

  Recent advances in the field of electronics and wireless communication have given the ability to design and manufacture sensors with low power consumption, small size, reasonable price and various uses. The limited energy capacity of sensors is a major challenge that affects these networks. Clustering is used as one of the well-known methods to manage this challenge. To find the suitable location of the cluster heads, the colonial competition algorithm, which is one of the branches of computational intelligence, has been used. Cluster heads are connected by a three-level model, so that cluster heads with low energy capacity and far from the station are known as the third level and exchange information indirectly with the base station. This increases the lifespan of wireless sensor networks Manuscript profile
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  2 - context-aware travel recommender system exploiting from Geo-tagged photos
  rezvan mohamadrezaei larki Reza Ravanmehr milad  amrolahi
  Recommender systems are the systems that help users find and select their target items. Most of the available events for recommender systems are focused on recommending the most relevant items to the users and do not include any context information such as time, locatio More

  Recommender systems are the systems that help users find and select their target items. Most of the available events for recommender systems are focused on recommending the most relevant items to the users and do not include any context information such as time, location . This paper is presented by the use of geographically tagged photo information which is highly accurate. The distinction point between this thesis and other similar articles is that this paper includes more context (weather conditions, users’ mental status, traffic level, etc.) than similar articles which include only time and location as context. This has brought the users close to each other in a cluster and has led to an increase in the accuracy. The proposed method merges the Colonial Competitive Algorithm and fuzzy clustering for a better and stronger processing against using merely the classic clustering and this has increased the accuracy of the recommendations. Flickr dataset is used to evaluate the presented method. Results of the evaluation indicate that the proposed method can provide location recommendations proportionate to the users’ preferences and their current visiting location. Manuscript profile
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  3 - Improving imperialist competitive algorithm for solving the nodes placement problem in three-dimensional grid wireless sensor networks
  Sayed Wafa Barkhoda Hemmat Sheikhi sudabeh mohammadi
  One of the basic and important research fields in wireless sensor networks is how to place sensor nodes where by using minimum number of sensor nodes all target points are covered and all sensor nodes are connected to the sink. In this paper, a novel method based on imp More

  One of the basic and important research fields in wireless sensor networks is how to place sensor nodes where by using minimum number of sensor nodes all target points are covered and all sensor nodes are connected to the sink. In this paper, a novel method based on imperialist competitive algorithm is used for solving the mentioned problem. In the proposed method, a colony can immigrate from a weak empire to more powerful empire. The idea of immigration is inspired from human society in which a human can emigrate from a country to another country. The network is supposed to be a three-dimensional grid network and the sensor nodes can be only placed at cross-points of the grids while the target points can be deployed at each point of three-dimensional space. The simulation results show that the proposed method uses fewer number of sensor nodes than other similar algorithms and has the less running time. Manuscript profile
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  4 - Permeability estimation using petrophysical logs and artificial intelligence methods: A case study in the Asmari reservoir of Ahvaz oil field
  Abouzar Mohsenipour Bahman Soleimani iman Zahmatkesh Iman  Veisi
  Permeability is one of the most important petrophysical parameters that play a key role in the discussion of production and development of hydrocarbon fields. In this study, first, the magnetic resonance log in Asmari reservoir was evaluated and permeability was calcula More

  Permeability is one of the most important petrophysical parameters that play a key role in the discussion of production and development of hydrocarbon fields. In this study, first, the magnetic resonance log in Asmari reservoir was evaluated and permeability was calculated using two conventional methods, free fluid model (Coates) and Schlumberger model or mean T2 (SDR). Then, by constructing a simple model of artificial neural network and also combining it with Imperialist competition optimization (ANN-ICA) and particle swarm (ANN-PSO) algorithms, the permeability was estimated. Finally, the results were compared by comparing the estimated COATES permeability and SDR permeability with the actual value, and the estimation accuracy was compared in terms of total squared error and correlation coefficient. The results of this study showed an increase in the accuracy of permeability estimation using a combination of optimization algorithms with artificial neural network. The results of this method can be used as a powerful method to obtain other petrophysical parameters. Manuscript profile