Thus, such searches are typical optimizations of complicated continuous functions. A new method namely Continuous Ant Colony Algorithm is introduced to solve this problem.
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。
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.
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。
An adaptive ant colony algorithm is presented for the optimization of multi-minimum continuous function.
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。
Based on ant colony evolutionary algorithm, a colony algorithm is extended for searching continuous space optimization.
基于蚁群进化算法，蚁群算法连续空间优化搜索扩展。
The ant colony algorithm has good adaptability when solving combined optimization problems, it isn t very good for continuous 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。
Based on the ant colony optimization idea, a new algorithm for continuous optimization problem is presented.
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。
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.
讨论了离散域蚁群算法和连续域蚁群算法的异同。
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