TY -的A2 -汉,帅盟——徐,彭盟——吴,小明盟——郭,人非盟-王,帅AU - Li Qingya盟——黄,被集体PY - 2019 DA - 2019/06/23 TI -混合预测策略进行同时决定空间和客观空间的进化动态多目标优化SP - 5190879六世- 2019 AB -有很多问题需要考虑当集成5 g网络和物联网构建未来智能城市,比如如何安排资源以及如何降低成本。这与动态多目标优化有很大关系。为了解决这类问题，有必要设计一个良好的处理策略。进化算法可以很好地解决这一问题。动态环境下的预测一直是一项极具挑战性的工作。在以往的文献中，PF或PS的位置和分布大多是通过中心点来预测的。中心点一般是指种群在决策空间中的中心点。然而，决策空间的中心点不能满足各种问题的需要。事实上，在客观空间中有许多具有特殊意义的点，如理想点和CTI。 In this paper, a hybrid prediction strategy carried through from both decision space and objective space (DOPS) is proposed to handle all kinds of optimization problems. The prediction in decision space is based on the center point. And the prediction in objective space is based on CTI. In addition, for handling the problems with periodic changes, a kind of memory method is added. Finally, to compensate for the inaccuracy of the prediction in particularly complex problems, a self-adaptive diversity maintenance method is adopted. The proposed strategy was compared with other four state-of-the-art strategies on 13 classic dynamic multiobjective optimization problems (DMOPs). The experimental results show that DOPS is effective in dynamic multiobjective optimization. SN - 1530-8669 UR - https://doi.org/10.1155/2019/5190879 DO - 10.1155/2019/5190879 JF - Wireless Communications and Mobile Computing PB - Hindawi KW - ER -