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Real Parameter Optimization Using Differential Evolution
(North Dakota State University, 2013)
Over recent years, Evolutionary Algorithms (EA) have emerged as a practical approach to solve hard optimization problems presented in real life. The inherent advantage of EA over other types of numerical optimization methods ...
Path Planning under Failures in Wireless Sensor Networks
(North Dakota State University, 2013)
This paper explores how an all pair shortest path can be obtained in a wireless sensor network when sensors fail. Sensors are randomly deployed in a predefined geographical area, simulating the deployment of sensors from ...
Mining Communities from Multi-Layered Graphs
(North Dakota State University, 2013)
Identifying communities from networks has been a subject of great interest in Biological and Social network analysis. Finding communities can help with tasks such as identifying and fighting disease. Using graphs to represent ...
Study of Similarity Coefficients Using MapReduce Programming Model
(North Dakota State University, 2013)
MapReduce is a programming model for processing and generating large data sets. Users specify a map function that processes a key/value pair to generate a set of intermediate key/value pairs, and a reduce function that ...
Optimization Modeling for Wireless Sensor Scheduling
(North Dakota State University, 2013)
Wireless sensor networks, consisting of sensing devices which sense the environment and communicate information among each other, is an emergent field in wireless networking with many potential applications. The efficiency ...