Xiaojian You, Xiaohai He, Xuemei Han, Chun Wu, and Hong Jiang
Industrial cognitive wireless networks, cross-layer cognitive decision engine, high-dimensional multi-objective optimization, multi-objective artificial bee colony algorithm based on hyper-volume,fuzzy decision-making
To solve parameters reconfiguration issue of industrial cognitive wireless networks, a cross-layer cognitive decision engine based on the hyper-volume multi-objective artificial bee colony algorithm (MOABChv) and fuzzy decision-making is proposed. The overall network performance optimization is modelled as a high-dimensional multi-objective optimization problem. The hyper-volume indices are introduced to judge the merits of high-dimensional target solutions. The integration of cellular automata and social cognitive strategies accelerates the convergence of the algorithm. Fuzzy decision- making technology is adopted to choose the optimal solution that meets the user needs. Simulation results show that the proposed MOABChv algorithm could solve a high-dimensional multi-objective optimization problem, its performance is better than NSGA2 and MOABC algorithms. The proposed cognitive decision engine can effectively achieve the multi-objective and multi-parameter cross- layer optimization reconfiguration.
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