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- Ant colony search algorithm 蚁群搜索算法
- Ant colony optimization(ACO) is a new heuristic searching algorithm,which is inspired by the foraging behavior of the real ant colonies. 蚁群算法是根据真实蚁群的觅食原理提出的一种新兴的启发式搜索算法。
- Results show that compared with genetic algorithm and ant colony optimization, the proposed algorithm has more powerful search property, more stable and converges faster. 结果表明,与遗传算法和蚁群算法相比,该算法具有更强的搜索性能和更好的稳定性,收敛速度更快。
- A Stochastic Searching Algorithm in Combination with Particle Swarm Optimization Algorithm and Ant Colony Algorithm 融合粒子群优化算法与蚁群算法的随机搜索算法
- We made improvement to the search mechanism of the traditional Ant Colony Algorithm (ACA), put forward a Random Ant Colony Algorithm (BACA), and applied it in air combat decision. 在传统蚁群算法基础上,对其搜索机制进行了改进,提出了一种随机优化蚁群算法,并将其应用于空战决策。
- A godless net muting with ant colony algorithm for IC design is presented. 本文提出了一种基于蚁群算法的集成电路无网格布线算法。
- Ant colony algorithm is an intelligent clustering analysis methodology. 蚁群算法是一种智能聚类分析方法。
- In this algorithm the model of robot s workspace was established with grid method and foldback iterating was used to search the aims by simulating the foraging behavior of ant colony. 该算法使用栅格法对机器人的工作空间进行建模,通过模拟蚂蚁的觅食行为,采用折返的迭代方式对目标进行搜索。
- An optimization algorithm for multiple-choice knapsack problem based on ant colony system is presented. 提出了一种用蚁群系统求解多选择背包问题的优化算法。
- Ant Colony Optimization algorithm(ACO)has the limitations of poor convergence, and is easy to fall in local optima. 针对蚁群优化算法(Ant Colony Optimization; ACO)收敛速度慢、易陷于局部最优解的缺点;提出了一种基于协同进化思想的蚁群算法;用于求解TSP问题.
- For a value, using a binary search algorithm. 使用二进制搜索算法在一维的排序。
- Evolutionary strategy with searching in variable neighborhood parameter is taken to improve ant colony algorithm (ACA). 摘要蚂蚁算法是解决组合优化问题的一种优秀的算法,但直接用于解决连续优化问题存在很大困难。
- An ant colony optimization based algorithm for permutation flow shop scheduling was proposed. 摘要提出了一种求解置换流水车间调度的蚁群优化算法。
- A new ACO(Ant Colony Optimization) algorithm based on pheromone increment and diffusion models is presented. 文章提出一种新的基于信息素增量和扩散模型的蚁群算法。
- Ant Colony System (ACS) is an effective algorithm to solve combinatorial problems such as TSPs. 摘要蚁群算法是一种解决组合优化问题的有效算法。
- An organism,such as a beetle,that habitually shares the nest of an ant colony. 蚁冢动物习惯居住在蚂蚁巢中的有机体,如甲壳虫
- Hybrid algorithm was composed of particle swarm optimization (PSO) and improved ant colony optimization (ACO). 采用粒子群算法与改进蚁群算法组成的混合优化算法求解模型。
- Then it designs and realizes the fast rampart search algorithm. 其中,平面点集的凸壳是最重要、最基础的问题。
- Ant colony algorithms are robust and adaptable as novel optimization methods. 蚁群算法作为一种新型的优化方法,具有很强的鲁棒性和适应性。
- The key point of this algorithm is to integrate NEH heuristics with ant colony optimization. 该算法的要点是结合了NEH启发式算法和蚁群优化方法。