Research On Multi-object Resource Allocation Of Coral Reef Ecosystems Based On Competition Graph Modeling

With the intensification of global warming and the increase of human activities in the Marine field,the ecological situation of coral reef ecosystems is becoming more and more serious.Coral reefs are bleaching,fish populations are declining,and endangered Marine species are on the rise.The ecological problems of these coral reef ecosystems have exerted great influence on the global ecological stability and the sustainable development of human society.Therefore,the research on the ecological protection strategy of coral reef ecosystems has gradually become an important research field.To achieve a more reasonable and efficient restoration of coral reef ecosystems,the resource allocation method based on computer graph modeling has become an important research aspect of the coral reef ecosystem conservation strategy.Resource allocation refers to the process of adding artificial reefs and other artificial natural resources of a reasonable scale at a reasonable location through simulation calculation.The main purpose of computer graphic modeling is to realize the global ecosystem modeling and simulation which is difficult to be achieved by traditional methods.However,the current strategic approach to ecosystems' resource allocation faces several major challenges: 1.In the context of big data,it is difficult to determine the dependency relationship between populations and difficult to collect relevant data,so the efficiency of modeling in related fields is low;2.Populations' competition pressure and load pressure are difficult to be quantified,which makes it tough to provide quantitative calculation support for ecological restoration strategies;3.The resource allocation process is hard to be accurately quantified,and it is untoward to accurately calculate the quantity and geographical location of new resources.To solve the above problems,this research,based on computer graph modeling technology,puts forward a method to construct a competition graph and implements the quantification of the populations' competition and load pressure,as well as the allocation of resources,which realizes to optimize the ecosystem restoration process,improve the efficiency of ecosystem restoration,and to reduce the effect of the ecosystem repair personnel's workload.The main goal of the resource allocation algorithm is to reduce the average competitive pressure and average load pressure of all populations in the ecosystem as much as possible under the condition of increasing artificial ecological resources,such as artificial reef,as few as possible.In this research,the internal populations of coral reef ecosystems are taken as the research objects.Based on the graph modeling,the multi-object resource allocation problem of coral reef ecosystem is studied,and the following work is mainly completed:(1)For the determination difficulty of large amounts of populations' dependency relationships,and the inefficiency of large-scale population quantitative modeling,this research puts forward the competition graph modeling method based on the first law of geography,realizing the rapid modeling of large amounts of populations and determining the dependency relationships between the populations.This laid a solid foundation for competition and load pressure quantification of populations and for implementing quantitative and accurate resource allocation optimization process;(2)Aiming at the difficulty of quantifying competition and load pressure,this research proposes the definition of competition value and load value on a competition graph and puts forward different query methods respectively.In this research,the competitive pressure and load pressure of large amounts of populations are quantified based on the graph local sensitive hashing method.The experimental results show the feasibility and efficiency of query methods under the background of big data.This is beneficial to achieve quantitative multi-object resource allocation;(3)Given the difficulty in developing quantifiable resource allocation strategies,this research proposes a multi-object resource allocation method based on the quantification of competitive pressure and load pressure,which achieves the goal of achieving the best ecosystem restoration effect as far as possible under the condition of increasing artificial ecological resources as few as possible.At the same time,the method in this research can calculate the accurate location and the scale of the new resources.Experimental results show that the multi-object resource allocation algorithm is robust and efficient.