A Tabu Search Approach to Fuzzy Optimization of Camellia Oleifera Fertilization
Traditional optimization methods have been applied for years to high-yield fertilization models, which are usually well formulated by crisp coef-ficients and variables. Unfortunately, real-world crop growing environment and process are often not deterministic. In this paper we establish a fuzzy mathe-matical model between Camellia oleifera yield and fertilization application rates, in which variation coefficients of N, P, K are described with fuzzy numbers. In particular, we present a tabu search algorithm for finding a set of fertili-zation solutions in order to maximize Camellia oleifera yield based on fuzzy measures including expected value, optimistic value and pessimistic value. Our approach is more realistic and practical for realworld problems by taking vague and imprecise data into consideration, provides more comprehensive decision support by generating a set of high-quality alternatives, and can be applied to fertilizer decision for a variety of other crops.
fuzzy optimization tabu search Camellia oleifera
Qin Song Fukuan Zhao Yujun Zheng
Department of Biotechnology, Beijing University of Agriculture 102206 Beijing, China Institute of Software, Chinese Academy of Sciences, 100093 Beijing, China
国际会议
南昌
英文
125-130
2010-10-22（万方平台首次上网日期，不代表论文的发表时间）