基于种群动态膜系统的大熊猫种群模型

doi:10.11772/j.issn.1001-9081.2017102551

计算机应用 ›› 2018, Vol. 38 ›› Issue (5): 1488-1493.DOI: 10.11772/j.issn.1001-9081.2017102551

• 应用前沿、交叉与综合 • 上一篇下一篇

基于种群动态膜系统的大熊猫种群模型

田昊¹, 张葛祥¹, 荣海娜¹, Mario J. PÉ;REZ-JIMÉ;NEZ², Luis VALENCIA-CABRERA², 陈鹏^3,4, 侯蓉³, 齐敦武³

1. 西南交通大学电气工程学院, 成都 610031;
2. 塞维利亚大学计算机科学与人工智能系, 塞维利亚 41012, 西班牙;
3. 成都大熊猫繁育研究基地, 成都 610081;
4. 四川省濒危野生动物保护生物学重点实验室, 成都 610081

收稿日期:2017-10-27 修回日期:2017-12-26 出版日期:2018-05-10 发布日期:2018-05-24
通讯作者: 张葛祥
作者简介:田昊(1993-),男,安徽宿州人,硕士研究生,主要研究方向:膜计算;张葛祥(1974-),男,四川绵阳人,教授,博士生导师,博士,主要研究方向:膜计算;荣海娜(1980-),女,山东东营人,讲师,博士,主要研究方向:膜计算;Mario J.PÉREZ-JIMÉNEZ (1948-),男,西班牙人,教授,博士生导师,博士,主要研究方向:计算复杂性理论、自然计算、生物信息学;Luis VALENCIA-CABRERA (1981-),男,西班牙人,研究员,博士,主要研究方向:膜计算;陈鹏(1982-),男,四川南充人,副教授,博士,主要研究方向:动物学;侯蓉(1968-),女,四川雅安人,研究员,硕士,主要研究方向:繁殖生物学;齐敦武(1978-),男,山东菏泽人,研究员,博士,主要研究方向:保护生物学。
基金资助:
国家自然科学基金资助项目（61672437，61373047，61702428，31772484）；成都大熊猫繁育研究基金资助项目（CPF2013-17）。

Population model of giant panda ecosystem based on population dynamics P system

TIAN Hao¹, ZHANG Gexiang¹, RONG Haina¹, Mario J. PÉ;REZ-JIMÉ;NEZ², Luis VALENCIA-CABRERA², CHEN Peng^3,4, HOU Rong³, QI Dunwu³

1. School of Electrical Engineering, Southwest Jiaotong University, Chengdu Sichuan 610031, China;
2. Department of Computer Science and Artificial Intelligence, University of Seville, Seville 41012, Spain;
3. Chengdu Research Base of Giant Panda Breeding, Chengdu Sichuan 610081, China;
4. Sichuan Key Laboratory of Conservation Biology for Endangered Wildlife, Chengdu Sichuan 610081, China

Received:2017-10-27 Revised:2017-12-26 Online:2018-05-10 Published:2018-05-24
Contact: 张葛祥
Supported by:
This work is partially supported by the National Natural Science Foundation of China (61672437, 61373047, 61702428, 31772484), the Chengdu Giant Panda Breeding Research Foundation (CPF2013-17).

摘要/Abstract

摘要： 大熊猫谱系数据是研究大熊猫种群动态性的重要数据基础，因此从保护大熊猫的角度考虑，大熊猫生态系统的数据建模具有重要意义。针对该问题提出了一种使用种群动态膜系统对大熊猫生态系统进行数据建模的方法。基于中国动物园协会已发布的大熊猫谱系数据从大熊猫个体行为上来模拟研究中国大熊猫保护研究中心圈养大熊猫种群特征，详细分析繁殖参数的变化规律并加入野放模块，设计了一个符合其特点的具有两层嵌套膜结构、对象集合和一系列进化规则的种群动态膜系统。在该膜系统的仿真实验中得到的全体大熊猫仿真结果与实际数据的相对误差最大不超过±4.13%，基本控制在±2.7%以内。实验结果验证了该计算模型的有效性和正确性，能够模拟预测大熊猫种群的变化趋势，给管理者的决策提供依据。

关键词: 种群动态膜系统, 大熊猫, 数据建模, 谱系数据

Abstract: Giant panda pedigree data is an important data base for studying the population dynamics of giant pandas. Therefore, it is of great significance for data modeling of giant panda ecosystems from the perspective of panda conservation. Focused on this issue, a data modeling method of giant panda ecosystem based on population dynamics P system was proposed. Based on the giant panda pedigree data released by Chinese Association of Zoological Gardens, the population characteristics of captive pandas were simulated and researched in China Giant Panda Conservation Research Center from individual behavior. The change rules of reproductive parameters were analyzed in detail, and added to the field released module. Eventually, a population dynamic P system for giant panda was designed releasing-to-the-wild with a two-layer nested membrane structure, a collection of objects and a series of evolution rules which is inline with the characteristics of giant panda. For all giant panda, the maximum relative error between the simulation results and the actual data was within ±4.13% and basically controlled within ±2.7% of P system. The experimental results verify the effectiveness and soundness of the proposed model. It can simulate the population dynamic change trend of giant panda and provide the basis for management decision-making.

Key words: Population Dynamics P (PDP) system, giant panda, data modeling, pedigree data

中图分类号:

TP391.9

田昊, 张葛祥, 荣海娜, Mario J. PÉREZ-JIMÉNEZ, Luis VALENCIA-CABRERA, 陈鹏, 侯蓉, 齐敦武. 基于种群动态膜系统的大熊猫种群模型[J]. 计算机应用, 2018, 38(5): 1488-1493.

TIAN Hao, ZHANG Gexiang, RONG Haina, Mario J. PÉREZ-JIMÉNEZ, Luis VALENCIA-CABRERA, CHEN Peng, HOU Rong, QI Dunwu. Population model of giant panda ecosystem based on population dynamics P system[J]. Journal of Computer Applications, 2018, 38(5): 1488-1493.

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基于种群动态膜系统的大熊猫种群模型

Population model of giant panda ecosystem based on population dynamics P system

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