In this work, to obtain the proper set of micro-parameters, a calibration framework is proposed that uses the ant colony optimization algorithm. In contrast to other micro-parameter calibration techniques, no d
自然界蚂蚁群体在寻找食物的过程中,通过一种被称为信息素(Pheromone)的物质实现相互的间接通信,从而能够合作发现从蚁穴到食物源的最短路径。通过对这种群体智能行为的抽象建模,研究者提出了蚁群优化算法(Ant Colony Optimization, ACO),为最优化问题、尤其是组合优化问题的求解提供了一强有力的手段。
Language:Python Sort:Most stars HaaLeo/swarmlib Sponsor Star530 This repository implements several swarm optimization algorithms and visualizes them. Implemented algorithms: Particle Swarm Optimization (PSO), Firefly Algorithm (FA), Cuckoo Search (CS), Ant Colony Optimization (ACO), Artificial Bee Colo...
(Genetic Algorithm, Particle Swarm Optimization, Simulated Annealing, Ant Colony Algorithm, Immune Algorithm, Artificial Fish Swarm Algorithm in Python) Documentation: https://scikit-opt.github.io/scikit-opt/#/en/ 文档: https://scikit-opt.github.io/scikit-opt/#/zh/ Source code: https://github...
Have you read papers on the subject? It's over 10 years since I wrote an ant colony algorithm, but I did it from papers as far as I can remember so there must be a lot more papers since then with details of the general algorithm that could be found via an internet search. ...
5. ACA (Ant Colony Algorithm) for tsp 6. immune algorithm (IA) 7. Artificial Fish Swarm Algorithm (AFSA) Projects using scikit-opt scikit-opt Swarm Intelligence in Python (Genetic Algorithm, Particle Swarm Optimization, Simulated Annealing, Ant Colony Algorithm, Immune Algorithm, Artificial Fish ...
This mechanism enables the entire ant colony to collaboratively and intelligently select the most efficient path, effectively introducing this concept into the optimization problem-solving process. Introducing this mechanism into the resolution of optimization problems is based on the ACO algorithm, which ...
Morgan Kaufmann, Burlington (1995) Han, Y., Shi, P.: An improved ant colony algorithm for fuzzy clustering in image segmentation. Neurocom- puting 70(4–6), 665–671 (2007) Hein, D., Hentschel, A., Runkler, T.A., Udluft, S.: Reinforcement learning with particle swarm optimization ...
def antColonyOptimization(cityNum, coordinate, point, setting): """ 蚁群算法 :param cityNum: 城市数量 int :param coordinate: 城市坐标 list :param point: 城市距离矩阵 ndarray :param setting: 函数相关配置 obj :return: 最小距离 double, 运行时间 double, 迭代次数 int setting相关配置: iter_max:...
This repository includes anant colony optimizationalgorithm for the traveling salesman problem (TSP) like Marco Dorigo, Mauro Birattari, and Thomas Stuetzle introduced in theIEEE Computational Intelligence Magazinein November 2006 (DOI: 10.1109/MCI.2006.329691). ...