Multi Functional Evaluation Model of Forest Based on Complex Needs
To improve the reasonability and accuracy of evaluation model for the forest ecological functions, an evaluation model for the forest ecological functions based on the Chaos feedback and Cuckoo Search algorithm is put forward. Firstly, research on the Cuckoo algorithm and utilize the
ergodicity of chaotic motion to solve the problem of which the Cuckoo Search algorithm is easy to be caught in local optimum situation and improve the solution efficiency of Cuckoo Search algorithm with the combination of feedback strategy; Secondly, select 8 factors of the forest stand volume,
forest naturalness, community structure, structure of tree species, mean height of forest stand, canopy density, total coverage of vegetation and thickness of litter layer to be the evaluation index and establish the projection pursuit evaluation model for the forest ecological functions with
application of improved Cuckoo Search algorithm to provide the new technological approach for the quantitative evaluation on ecological function; Finally, make research on the performance of improved Cuckoo Search algorithm and its application in the evaluation model for ecological function
of forest through the experiment to verify the validity of the mentioned algorithm.
Keywords: Chaotic Ergodicity; Cuckoo Search; Feedback Strategy; Forest Function
Document Type: Research Article
Affiliations: Key Laboratory of Environment and Ecology of Education Ministry in West China, College of Forestry, Northwest A&F University, Yangling, Shaanxi, 712100, China
Publication date: 01 November 2016
- Journal of Computational and Theoretical Nanoscience is an international peer-reviewed journal with a wide-ranging coverage, consolidates research activities in all aspects of computational and theoretical nanoscience into a single reference source. This journal offers scientists and engineers peer-reviewed research papers in all aspects of computational and theoretical nanoscience and nanotechnology in chemistry, physics, materials science, engineering and biology to publish original full papers and timely state-of-the-art reviews and short communications encompassing the fundamental and applied research.
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