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基于生物迁移的机理,提出了一种新算法——生存迁移算法。每个生物体都存在着生存极限,生存极限会随着时间不断演化,而生物体为了生存又会在空间上不断地迁移,当全部个体所在位置的生存状况都能满足生存极限时,就认为达到了最佳的生存位置。文章分析了算法的机理与过程,用其解决了四种类型的非线性最优化问题,并进行了比较分析,实验结果说明生存迁移算法具有较快的收敛性,能较好处理一些优化问题。
Based on the mechanism of biological migration, a new algorithm - survival migration algorithm is proposed. Each organism has the limit of survival, the limit of survival will evolve over time, and the organism will continue to migrate spatially in order to survive. When the living conditions of all the individuals can meet the limit of survival, Reached the best place to live. The paper analyzes the mechanism and process of the algorithm, solves four types of nonlinear optimization problems by using it, and makes a comparative analysis. The experimental results show that the live migration algorithm has faster convergence and can better deal with some optimization problems.