：仿生优化算法是模拟自然界中生物行为的随机搜索算法，可以用来解决现实中的许多优化问题。简要介绍了目前比

较流行的四种新型仿生优化算法(蚁群算法、微粒群算法、人工免疫算法以及人工鱼群算法)的基本原理；然后深入分析了这

些仿生优化算法的异同之处-Bionic optimization algorithms aye stochastic search methods that mimic the natural biological behavior

of species．They age mainly applied to solve various optimization problems．This paper proposes the formulation of

four recent biology—based algorithms：an t colony algorithm，particle swarm optimization algorithm，artificial immune

algorithm，and artificial fish—swarln algorithm