The Qinba areas,located in the Central China,represent 317000 km2,cover 6 provinces.The major mountain of Qinba areas,the Qinling,separates China North and South.This region is one of the areas with the most biodivers...The Qinba areas,located in the Central China,represent 317000 km2,cover 6 provinces.The major mountain of Qinba areas,the Qinling,separates China North and South.This region is one of the areas with the most biodiversity and ecological importance in China and globally,and considered as natural gene bank and bio-resource bank.Qinba mountain areas,together with the Alps in Europe and the Rocky Mountains in North America,are known as the"Three sisters of the earth"by the geological and biological circles.Most of the lands in this region are protected as national park,natural reserve,water resource protection area,etc.These areas have well preserved ecosystem and breeding and habitat area for many endangered species of plants and animals,inculding Panda.In this region,there are more than 4000 species of higher plants,about 2000 species of medicinal plants and animals,200 species of wild ornamental plants and 180 species of economic fungi with edible and medicinal value in those areas.Medicinal plant cultivation,eco-agriculture and ecotourism are the major industries in this region.The State Key Laboratory of Biological Resources and Ecological Environment of Qinba Areas,located in Hanzhong,the central city of Qinba,is focusing on pan-regional biological resources research and rational utilization,ecological protection,and comprehensive and coordinated regional development.展开更多
Resource allocation for an equipment development task is a complex process owing to the inherent characteristics,such as large amounts of input resources,numerous sub-tasks,complex network structures,and high degrees ...Resource allocation for an equipment development task is a complex process owing to the inherent characteristics,such as large amounts of input resources,numerous sub-tasks,complex network structures,and high degrees of uncertainty.This paper presents an investigation into the influence of resource allocation on the duration and cost of sub-tasks.Mathematical models are constructed for the relationships of the resource allocation quantity with the duration and cost of the sub-tasks.By considering the uncertainties,such as fluctuations in the sub-task duration and cost,rework iterations,and random overlaps,the tasks are simulated for various resource allocation schemes.The shortest duration and the minimum cost of the development task are first formulated as the objective function.Based on a multi-objective particle swarm optimization(MOPSO)algorithm,a multi-objective evolutionary algorithm is constructed to optimize the resource allocation scheme for the development task.Finally,an uninhabited aerial vehicle(UAV)is considered as an example of a development task to test the algorithm,and the optimization results of this method are compared with those based on non-dominated sorting genetic algorithm-II(NSGA-II),non-dominated sorting differential evolution(NSDE)and strength pareto evolutionary algorithm-II(SPEA-II).The proposed method is verified for its scientific approach and effectiveness.The case study shows that the optimization of the resource allocation can greatly aid in shortening the duration of the development task and reducing its cost effectively.展开更多
文摘The Qinba areas,located in the Central China,represent 317000 km2,cover 6 provinces.The major mountain of Qinba areas,the Qinling,separates China North and South.This region is one of the areas with the most biodiversity and ecological importance in China and globally,and considered as natural gene bank and bio-resource bank.Qinba mountain areas,together with the Alps in Europe and the Rocky Mountains in North America,are known as the"Three sisters of the earth"by the geological and biological circles.Most of the lands in this region are protected as national park,natural reserve,water resource protection area,etc.These areas have well preserved ecosystem and breeding and habitat area for many endangered species of plants and animals,inculding Panda.In this region,there are more than 4000 species of higher plants,about 2000 species of medicinal plants and animals,200 species of wild ornamental plants and 180 species of economic fungi with edible and medicinal value in those areas.Medicinal plant cultivation,eco-agriculture and ecotourism are the major industries in this region.The State Key Laboratory of Biological Resources and Ecological Environment of Qinba Areas,located in Hanzhong,the central city of Qinba,is focusing on pan-regional biological resources research and rational utilization,ecological protection,and comprehensive and coordinated regional development.
基金supported by the National Natural Science Foundation of China(71690233)
文摘Resource allocation for an equipment development task is a complex process owing to the inherent characteristics,such as large amounts of input resources,numerous sub-tasks,complex network structures,and high degrees of uncertainty.This paper presents an investigation into the influence of resource allocation on the duration and cost of sub-tasks.Mathematical models are constructed for the relationships of the resource allocation quantity with the duration and cost of the sub-tasks.By considering the uncertainties,such as fluctuations in the sub-task duration and cost,rework iterations,and random overlaps,the tasks are simulated for various resource allocation schemes.The shortest duration and the minimum cost of the development task are first formulated as the objective function.Based on a multi-objective particle swarm optimization(MOPSO)algorithm,a multi-objective evolutionary algorithm is constructed to optimize the resource allocation scheme for the development task.Finally,an uninhabited aerial vehicle(UAV)is considered as an example of a development task to test the algorithm,and the optimization results of this method are compared with those based on non-dominated sorting genetic algorithm-II(NSGA-II),non-dominated sorting differential evolution(NSDE)and strength pareto evolutionary algorithm-II(SPEA-II).The proposed method is verified for its scientific approach and effectiveness.The case study shows that the optimization of the resource allocation can greatly aid in shortening the duration of the development task and reducing its cost effectively.
