Evolutionary Based Approaches in Wireless Sensor Networks: A Survey

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@InProceedings{Nan:2008:ICNC,

• author = "Guofang Nan and Minqiang Li",
• title = "Evolutionary Based Approaches in Wireless Sensor Networks: A Survey",
• booktitle = "Fourth International Conference on Natural Computation, ICNC '08",
• year = "2008",
• month = oct,
• volume = "5",
• pages = "217--222",
• keywords = "genetic algorithms, genetic programming, NP hard problems, evolutionary algorithms, optimization problems, wireless sensor networks, wireless sensor networks",
• DOI = "doi:10.1109/ICNC.2008.98",
• abstract = "With the broad application and techniques development of wireless sensor networks (WSNs), a series of optimization problems are produced, and most of these problems are NP hard, it is difficult to obtain the high precision of solution by traditional methods. While employing evolutionary algorithms (EAs) in WSNs is emerging as an important field, there is an important need to form a broad review of the current research and its future directions. Thus, this paper discusses the use of evolutionary algorithms, particularly genetic algorithms and genetic programming in wireless sensor networks. We focus on how to understand of properly using EAs for the real problems and what problems in WSNs can be solved by EAs.",
• notes = "Also known as \cite{4667429}",

}

Genetic Programming entries for Guofang Nan Minqiang Li

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