其主要内容包括蚁群算法的思想起源、研究现状及机制原理；蚁群算法的复杂度分析；蚁群算法的收敛性证明；蚁群算法参数对其性能的影响；蚁群算法的参数选择原则；离散域和连续域蚁群算法的若干改进策略；蚁群算法在多个优化领域的典型应用；蚁群算法的硬件实现技术；蚁群算法与其它仿生优化算法的比较与融合；蚁群算法的研究展望；最后还在附录部分给出了基本蚁群算法的程序源代码和相关网站。.-Its main contents include the origin of ant colony algorithm idea, principle and mechanism of Research　the complexity analysis of ant colony algorithm　prove the convergence of ant colony algorithm　ant colony algorithm parameters on its performance　the principle of ant colony algorithm parameters　 discrete domain and continuous domain of a number of ant colony algorithm improvement strategies　ant colony optimization algorithm is typical in many applications　ACO hardware implementation technology　ant colony optimization algorithm and other bionic comparison and integration　ant colony algorithm research prospects　final appendix also shows the basic ant colony algorithm source code and related sites. .