基于蚁群算法的石化项目应急路径规划研究

蚁群算法是一种智能仿生优化算法,实际运用仿真模拟时具有良好的寻优性和高效性。将蚁群算法与石化项目的路径规划结合,借鉴蚁群算法解决旅行商问题TSP的思路并将之运用于应急路径规划,利用MATLAB仿真软件,以某石化项目的应急路径规划为实例,较好地实现了有关应急路径模拟图,可为有关石化项目的安全规划提供借鉴和参考。     

基于自适应调整蚁群-RBF神经网络模型的中长期径流预测

径流预测历来是水利部门的一项重要工作,针对水库和河流中长期径流预测精度不高,提出了自适应调节人工蚁群算法(ARACS),对RBF神经网络参数进行优化,建立了自适应调节人工蚁群-RBF神经网络组合算法(ARACS-RBF)预测模型,综合考虑影响径流预变化因素,对安康水库进行中长期径流预测。对预测效果进行检验,结果证实该模型可真实地反映河川径流变化的总体趋势, 并为判断时间序列数据的非线性提供了一种新方法。与RBF神经网络模型、人工蚁群-RBF神经网络模型预测结果进行对比,结果表明,应用ARACS-RBF模型对中长期径流量进行预测,预测精度更高、效果更好。该方法克服了RBF神经网络和人工蚁群算法易陷于局部极值、搜索质量差和精度不高的缺点,改善了RBF神经网络的泛化能力,收敛速度快,输出稳定性好,提高了径流预测的精度,置信度为98%时的预测相对误差小于6.5%。可有效用于水库和河川中长期径流预测。     

蚁群算法在生命线网络系统抗震拓扑优化中的应用

近年来,遗传算法和模拟退火算法已经应用于网络系统的抗震拓扑优化,蚁群算法也已经成功应用到多个组合优化问题中。首先论述了生命线网络系统抗震拓扑优化模型,然后介绍了网络抗震可靠度分析的最小路递推分解算法。通过对优化问题解形式的分析,采用二进制编码的蚁群算法对优化模型进行了求解。最后,结合实例分析,并与遗传算法和模拟退火算法的计算结果进行了对比。结果表明,蚁群算法可以作为一种新的工具进行网络系统的优化设计。     

基于TOPAZ的无人机冲突解脱安全评估技术

针对当前无人机空域运行安全评估体系缺乏的现状,利用TOPAZ构建了一种用于无人机飞行冲突解脱技术的安全评估体系。构造了无人机的空域运行环境,加入单机45°交叉相遇、90°交叉相遇和双机同时交叉相遇的冲突场景。选取一种典型的无人机冲突解脱算法作为安全评估对象,依据TOPAZ的评估流程展开了系统的评估,得出冲突解脱算法的安全水平。对冲突解脱算法提出了改进方案,加入了动态的启发式因子,有效提高了冲突解脱技术的安全性能。通过基于TOPAZ的迭代评估过程进一步找出了无人机冲突解脱算法的安全瓶颈所在,证实了当前各类冲突解脱技术还无法满足有人机与无人机共域飞行的安全需要。     

Tropical arboreal ant mosaics: innate attraction and imprinting determine nest site selection in dominant ants

The modalities of nest site selection have, until now, been a key factor missing in the understanding of the arboreal ant mosaic, the manipulation of which could be used to favour one ant species to the detriment of others in biological control. We compared two dominant African arboreal ants of economic importance, Tetramorium aculeatum (Myrmicinae) and Oecophylla longinoda (Formicinae). The two species differed in terms of innate attraction to nesting site plants, their hierarchies of attractiveness being nearly inverse. Winged females and workers were confronted with choice tests using four plant species. By using winged females and workers originating from one of the plants to be tested, we showed the existence of a familiarisation process which can supersede innate attraction in both species. We recorded the same effect in neonatal workers bred in the laboratory in contact with a tested plant for 25 days after emergence, while mature workers could not be conditioned. There is, therefore, early learning, with a sensitive period after which the influence of the environment ceases, suggesting that this is a true imprinting process. Choice tests using neonates produced from larvae and pupae bred in the laboratory in contact with the leaves of each tested plant permitted us to demonstrate the existence of pre-imaginal learning. Nest site selection therefore depends on innate selective attraction and on environmental factors whose effect begins at the larval stage. There is, therefore, the potential to “control” imprinting, allowing one ant species to be favoured to the detriment of others in monospecific tree crop plantations. Received: 25 May 1998 / Accepted after revision: 9 October 1998     

Worker discrimination among queens in newly founded colonies of the fire ant Solenopsis invicta

Although colonies of the fire ant Solenopsis invicta are often founded by small groups of queens, all but one of the queens are soon eliminated due to worker attacks and queen fighting. The elimination of supernumerary queens provides an important context for tests of discrimination by the workers, since the outcome of these interactions strongly affects the workers' inclusive fitness. To test whether workers in newly founded colonies discriminate among nestmate queens, paired cofoundresses were narrowly separated by metal screens that prevented direct fighting, but through which the workers could easily pass. Soon after the first workers completed development, they often attacked one of the queens; these attacks were strongly associated with queen mortality. When one queen's brood was discarded, so that the adult workers were all the daughters of just one queen, the workers were significantly less likely to bite their mother than the unrelated queen; however, this tendency was comparatively weak. Queens kept temporarily at a higher temperature to increase their rate of investment in brood-rearing lost weight more rapidly than paired queens and were subsequently more likely to be attacked and killed by workers. Workers were more likely to bite queens that had been temporarily isolated than queens that remained close to brood and workers. When queens were not separated by screens, the presence of workers stimulated queen fights. These results show that workers discriminate strongly among equally familiar queens and that discrimination is based more on the queens' condition and recent social environment than on kinship. Received: 9 June 1998 / Accepted after revision: 10 October 1998     

Desert ants adjust their approach to a foraging site according to experience

In the habitat of desert ants, Cataglyphis fortis, a constant wind is usually blowing during the daytime. When visiting a familiar food source, the ants steer some distance downwind of the feeder, rather than attempting a direct approach that might miss small food sources, in particular. In the downwind area, the ants pick up the odor plume emanating from the food and follow it upwind to the prey. This strategy saves considerable walking distance and time. The additional path necessitated by the downwind strategy is only about 0.75 to 2 m, depending on nest–feeder distance, while missing the food on the upwind side results in much longer search trajectories. During the initial three to five visits to a feeding site, downwind distance and length of the approach path are shortened notably, and the approach trajectory is straightened. Desert ants further exhibit considerable short-term flexibility in their approach. Experienced individuals are evidently able to decide upon leaving the nest which direction to choose toward the feeder, depending on current wind direction (that fluctuates slightly during the day). Notable changes in wind direction occur primarily overnight. For larger nest–feeder distances, the animals adjust their approach en route to the altered wind direction during their first foraging trip in the morning.     

基于蚁群算法的烟气中人员疏散路径选择优化

针对火灾烟气环境下的人员疏散问题,分析人员密度以及烟气能见度对疏散速度以及最佳疏散路径的影响。首先,得到烟气及人员密度对疏散速度的修正函数,并将该函数同蚁群算法的启发式信息函数进行耦合;其次,改进蚁群算法求解最佳路径的局限性,建立1种基于蚁群算法的人员疏散路径算法模型;最后,将算法模型应用于实例研究。研究结果表明:所提出的模型可较好地优化人员疏散路径,并进一步提高人员疏散效率。     

Relative Effects of Disturbance on Red Imported Fire Ants and Native Ant Species in a Longleaf Pine Ecosystem

Abstract: The degree to which changes in community composition mediate the probability of colonization and spread of non‐native species is not well understood, especially in animal communities. High species richness may hinder the establishment of non‐native species. Distinguishing between this scenario and cases in which non‐native species become established in intact (lacking extensive anthropogenic soil disturbance) communities and subsequently diminish the abundance and richness of native species is challenging on the basis of observation alone. The red imported fire ant (Solenopsis invicta), an invasive species that occurs throughout much of the southeastern United States, is such an example. Rather than competitively displacing native species, fire ants may become established only in disturbed areas in which native species richness and abundance are already reduced. We used insecticide to reduce the abundance of native ants and fire ants in four experimental plots. We then observed the reassembly and reestablishment of the ants in these plots for 1 year after treatment. The abundance of fire ants in treated plots did not differ from abundance in control plots 1 year after treatment. Likewise, the abundance of native ants increased to levels comparable to those in control plots after 1 year. Our findings suggest that factors other than large reductions in ant abundance and species density (number of species per unit area) may affect the establishment of fire ants and that the response of native ants and fire ants to disturbance can be comparable.     

考虑可靠性的矿井瓦斯传感器选址模型

针对依据现行煤矿安全规程及相关规范布置的瓦斯传感器有可能出现失效的情况,提出兼顾经济性和可靠性双目标的瓦斯传感器优化选址模型。借助图论和设施选址理论,以矿井通风网络节点为候选布置点,节点间的风流流经时间为监测等级,以煤矿相关规程规范硬性要求的布置点为必选点,建立瓦斯传感器多目标优化选址模型。然后,基于Pareto蚁群算法(PACA)阐述模型的求解过程。最后,结合某风网算例,给出模型与算法的具体应用。结果表明:模型的非劣解包含了传统的以最小化传感器成本为目标的选址模型最优解,并且可靠性越高所需的传感器就越多。