中部地区都市圈创新网络空间优化路径研究

以都市圈(城市群)为发展引擎的中部崛起战略实施以来,中部地区都市圈(城市群)普遍存在因创新能力低下而导致无法实现良性发展的问题。基于都市圈创新网络的内涵、要素特征等理论分析,界定了都市圈创新网络的空间结构,在此基础上,根据对太原都市圈区域创新要素空间分布现状的评价,从都市圈城镇节点网络化、产业集群网络化、创新机制参与主体网络化等方面提出太原都市圈创新网络的空间优化路径,以对中部地区城市群创新体系的完善提供参考。

城市边缘化现象与空间优化路径——以邵阳市为例

城市边缘化主要出现在远离行政或经济中心的地理边缘区,这一现象在中国内陆的省际边界城市这一群体身上表现得尤为明显。以典型内陆边缘化城市——邵阳市作为研究对象,认为边缘化特征主要表现为省域地位下降,域内城镇离心发展,人才外流,城市综合竞争力下降等。地理区位、交通条件、政府行为、市场机制和区域剥夺行为是形成边缘化的原因。并由此提出了反边缘化的城市空间优化路径。

基于空间布局优化路径决策模型的山东半岛蓝区海水养殖空间布局优化研究

运用空间布局优化路径决策模型,以2010年为基期,对山东半岛蓝区2020年的海水养殖空间布局的最优比例进行求解,并计算得到了十年间海水养殖空间布局的优化路径。池塘、底播、浅海养殖的现状比例为48%、48%、4%,最优比例为38%、48%、14%;池塘养殖经过2%、2%、2%、5.3%、5.1%、4.7%、4.4%、4%、3.5%、2.9%的优化率,在2020年达到38%的最优占比;底播养殖经过前三年8.8%、8.5%、8.1%的优化比率在2013年达到最大占比51.4%之后连续七年经过5%的优化比率在2020年恢复至最优比例48%;浅海养殖连续十年经过20%的优化比率,最终达到14%的最优占比。经过十年不断的优化,池塘、底播、浅海的养殖面积在2020年都将会达到规划的理想面积1104935hm2、1405817 hm2、480893.6 hm2。

BP-MPSO混合算法在机器人空间路径中的应用

在对PUMA机器人空间路径进行BP算法环境建模与目标建模的基础上,针对传统粒子群优化(PSO)算法搜索空间有限、容易陷入局部最优点的缺陷,提出了一种改进的粒子群优化(MPSO)算法。该算法引入了基于全局信息反馈的重新初始化过程机制,并对PUMA机器人空间路径进行了优化。仿真实验表明,该算法的应用不仅降低了求解逆运动方程的难度,还能得到全局最优解,显著地提高了PUMA机器人空间路径优化的效率。

Numerical study on the spatially varying drag coefficient in simulation of storm surges employing the adjoint method

From the simulation of storm surges resulting from Typhoons 7203 and 8509 in the Bohai Sea, Yellow Sea and East China Sea, water level data at tide stations are assimilated into a two-dimensional storm surge model, to study the spatially varying drag coefficient (DC) by employing the adjoint method. In this study, the DC at some grid points is uniformly selected as the independent DC, while the DC at other grid points is obtained through linear interpolation of the independent DC. The DC at independent points is optimized by employing the adjoint assimilation method, and global optimization is achieved by optimizing the independent DC. To demonstrate the method's performance, three comparative experiments are carried out. In the first experiment, the DC is treated as a constant. In the second and third experiments, the DC is derived using an empirical formula. Comparing the experimental results, it is found that the simulation accuracy for both Typhoons 7203 and 8509 increases greatly when optimizing the independent DC. However, the number of independent points makes no great difference to the precision of simulation. Moreover, the DC inverted from Typhoons 7203 and 8509 differs in some sea areas because of the different typhoon tracks. However, the spatial distribution of the inverted DC, for both Typhoons 7203 and 8509, demonstrates a clear effect of the DC on the storm surge modeling near the coastal areas where the DC is highest or lowest.