借鉴蚁群优化算法和粒子群优化算法的思想，提出了一种用于求解约束优化问题的连续域蚁群算法。
Using the idea of both ant colony optimization algorithm and particle swam optimization algorithm, a continuous domains ant colony algorithm for solving constrained optimization problem was proposed.
针对多极值连续函数优化问题，提出了一种自适应蚁群算法。
An adaptive ant colony algorithm is presented for the optimization of multi-minimum continuous function.
对于连续优化问题，提出了基于蚁群算法思想的求解算法，并与网格法作了比较。
Based on the ant colony optimization idea, a new algorithm for continuous optimization problem is presented.
本文在介绍求解复杂组合优化问题而提出的蚁群算法的基础上，提出一种基于连续不确定区域的蚁群算法。
A new sequential uncertainty domain method called SUACO is presented on the basis of ant colony optimization, which is adapted to solve complex combination optimization problems.
蚁群算法在解决组合优化问题上有着良好的适应性，但直接应用于求解连续优化问题难以获得理想的效果。
The ant colony algorithm has good adaptability when solving combined optimization problems, it isn t very good for continuous optimization problems.
目前国内外对于蚁群算法在连续优化问题的应用研究成果还很少，但初步研究已显示出蚁群算法较好的性能。
Now studies of Ant Colony optimization for continuous optimization problems are not sufficient, but primary studies have shown its good performance.
针对蚁群算法在求解连续优化问题上相对较弱的特点，提出了基于网格划分的蚁群算法，将传统的用于求解离散空间优化问题的蚁群算法进行了扩展。
Puts forward a new ACA based on grid division to overcome the weakness of ACA in solving continuous function optimization problem, and expands the discrete space to the continuous space.
蚁群算法在组合优化问题的成功应用，使得人们开始将焦点又集中在其在连续优化问题上的应用。
Its successful application in combination optimization problems makes our focus on its application in continuous optimization problems.
蒲黎明，俞欢军，陈德钊。连续多蚁群算法的构建及其在过程动态优化中的应用。高校化学工程学报。已录用。
Pu LM. Yu HJ and Chen DZ. Continuous ant colony system and its application in dynamics process optimization. Jounal of Chemical Engineering of Chinese University.
本文就此提出一种新的解决连续函数优化问题的连续型蚁群算法，它具有简单易实现且计算效率高等特点，特别适用于复杂工程优化问题。
Thus, such searches are typical optimizations of complicated continuous functions. A new method namely Continuous Ant Colony Algorithm is introduced to solve this problem.
基于蚁群进化算法，蚁群算法连续空间优化搜索扩展。
Based on ant colony evolutionary algorithm, a colony algorithm is extended for searching continuous space optimization.
讨论了离散域蚁群算法和连续域蚁群算法的异同。
Similarities and differences between the ant colony algorithm of discrete filter and ant colony algorithm of continuous domain are discussed.
讨论了离散域蚁群算法和连续域蚁群算法的异同。
Similarities and differences between the ant colony algorithm of discrete filter and ant colony algorithm of continuous domain are discussed.
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