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Papers by Zijian Peng

The rapid growth of international container handling in recent years has led to an increased util... more The rapid growth of international container handling in recent years has led to an increased utilization of mega-containerships and the rebuild of container network. In this paper, we focus on the optimization of total cost for regional containers transportation network system of seaports, and propose a new reliable intelligent algorithm, named Ant Colony Optimization (ACO). ACO is to solve the nonlinear NP-complete problems, which is greatly inspired from real ants and their food seeking behavior. The paper constructs an optimization model for certain containers transportation network system and simulates the whole process. The results show the improved ACO Algorithm is of a credible and excellent probability accumulation searching method to reduce the integrated cost of container transportation network obviously. The optimization model that we constructed provides a reference model for containers transportation network layout.

Influenza and Other Respiratory Viruses, 2009

Background The next influenza pandemic will create a surge in demand for health resources in Chi... more Background The next influenza pandemic will create a surge in demand for health resources in China, with its current population of >1·3 billion persons and under-developed medical care and public health system. However, few pandemic impact data are available for China.Objectives We estimated the effects of a future influenza pandemic in China by examining pandemic scenarios of varying severity and described the time distribution of cases during a first wave.Methods We used a Monte-Carlo simulation model and death rates, hospitalizations and outpatient visits for 1918- and 1968-like pandemic scenarios and data from the literature or experts’ opinion to estimate four health outcomes: deaths, hospitalizations, outpatient medical visits and clinical illness for which medical care was not sought. For each of the two scenarios we estimated outcomes by week using a normal distribution.Results We estimated that a 1968 scenario in China would result in 460 000–700 000 deaths, 1·94–2·27 million hospitalizations, 111–117 million outpatient visits and 192–197 million illnesses for which medical care was not sought. Fifty-two percent of hospitalizations occurred during the two-peak weeks of the first wave. We estimated that patients at high-risk of influenza complications (10–17% of the population) would account for 61–75% of all deaths. For a 1918 scenario, we estimated that 4·95–6·95 million deaths, 20·8–22·7 million hospitalizations and 101–108 million outpatient visits could occur.Conclusion Even a 1968 pandemic scenario will pose substantial challenges for the medical and public health system in China, and planning to manage these challenges is essential.

Journal of Infectious Diseases, 2009

In China, 30 human cases of avian influenza A (H5N1) virus infection were identified through July... more In China, 30 human cases of avian influenza A (H5N1) virus infection were identified through July 2008. We conducted a retrospective case-control study to identify risk factors for influenza H5N1 disease in China.

Toxicological & Environmental Chemistry, 1998

ABSTRACT

ABSTRACT In this paper, we focus on printed circuit boards (PCB) and their components arrangement... more ABSTRACT In this paper, we focus on printed circuit boards (PCB) and their components arrangement optimization problem, which is derived from electronic surface mounting manufacturing process. It includes two tasks: the sequencing of PCBs and the assignment of components on PCBs to different mounting machines. A taboo search (TS) with kick strategy is proposed to solve this problem: (1) Ordinal optimization (OO) is applied to obtain a favorable initial solution. It compensates for the dependence on the initial solution of taboo search and contributes to obtain a better result in a large possibility. (2) Kick strategy is embedded into taboo search, and the global searching ability of the algorithm is greatly strengthened. It not only inherits the characteristic of previous local optimization, but also avoids being trapped in the specific region which fails to find a better solution. The experimental result shows that the algorithm is effective for solving the PCBs and their components arrangement optimization problem.