13 March 2013 Multi-objective quantum genetic algorithm in WSNs distribution optimization
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To achieve lower energy and higher detection coverage simultaneously in scattering distribution wireless sensor networks (WSNs), a multi-objective optimization function combined with area coverage and node-communication energy is constructed. Based on the multi-objective quantum genetic algorithm (Mo-QGA) proposed by Li Bin and Zhuang-zhen Quan et al, we have obtained optimum solutions close to Pareto front. Experimental results indicate that the Mo-QGA has advantages both on efficiency and coverage, as well as low energy.
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Hao Wen, Hao Wen, Hong-liang Ren, Hong-liang Ren, "Multi-objective quantum genetic algorithm in WSNs distribution optimization", Proc. SPIE 8784, Fifth International Conference on Machine Vision (ICMV 2012): Algorithms, Pattern Recognition, and Basic Technologies, 87840H (13 March 2013); doi: 10.1117/12.2013799; https://doi.org/10.1117/12.2013799

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