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- Binary Ant Colony Optimization Algorithm 二元蚁群优化算法
- binary ant colony optimization 二元蚁群优化算法
- 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.
- 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。
- 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。
- 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。
- Compared with the standard GA and simulated annealing algorithm, simulation results show that chaos ant colony optimization is a simple and effective algorithm. 与模拟退火算法、标准遗传算法进行比较，仿真结果表明该方法是一种简单有效的算法。
- A new method for solving the problem of cold start controlling of fuel cell engine(FCE) is proposed by using the idea of ant colony optimization. 本文将蚂蚁算法应用于燃料电池发动机冷启动控制问题;以暖机时间(升温至正常工作温度)最短和提高燃料电池发动机的系统整体燃料效率为目标.
- An iterative approach, which consists of an improved ant colony optimization (IACO) and a label-marking method, is used to solve the bi-level model. 然后，采用了改进的蚁群算法和标号法对该双层模型进行了求解。
- A new method for solving the problem of cold start controlling of fuel cell engine (FCE) is proposed by using the idea of ant colony optimization. 摘要本文将蚂蚁算法应用于燃料电池发动机冷启动控制问题，以暖机时间（升温至正常工作温度）最短和提高燃料电池发动机的系统整体燃料效率为目标。
- A survey of the origin and development of ant colony optimization is presented and a TSP model of ant colony optimization is illustrated. 摘要介绍了蚁群优化理论的产生和发展过程，重点阐述了蚁群算法的基本原理。
- In this paper, a novel method called Ant Colony Optimization (ACO) is presented to solve the problem of transmission network expansion planning. 文章提出了一种基于蚁群最优的输电网络扩展规划法(ACO)。
- Ant colony optimization(ACO) is a new kind of simulated evolutionary algorithm,and it has many good features,but it is easy to fall in local peak. 蚁群算法是一种新型的模拟进化算法,研究表明此算法具有一些优良性质,但是蚁群算法容易陷入局部最优。
- A hybrid algorithm for unit commitment problem based on ant colony optimization (ACO) and particle swarm optimization (PSO) is proposed. 提出了一种用于求解机组组合优化问题的蚁群粒子群混合优化算法。
- 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。
- By use of the properties of ergodicity, randomicity, and regularity of chaos, a chaos ant colony optimization (CACO) algorithm is proposed to solve traveling salesman problem. 摘要利用混沌运动的遍历性、随机性和规律性等特点，提出了一种求解旅行商问题的混沌蚁群(CACO)算法。
- To speed up the convergence of GA，the positive feedback from the Ant Colony Optimization（ACO） is introduced to the crossover operation and the mutation operation. 算法还借鉴蚁群算法思想，在交叉、变异算子中引入了正反馈机制，以提高算法的收敛速度。
- Experimental results on three TSPs show that the algorithm has more powerful capacity of finding global solution and stability than that of conventional ant colony optimization. 通过三种TSP问题的仿真实验，证明该算法具有较强的发现较好解的能力，解的稳定性也比较好。
- Aiming at the total weighted tardiness scheduling problem of unrelated parallel machine,a kind of hybrid ant colony optimization algorithm was proposed. 针对一类变速机总加权拖期调度问题,提出一种混合蚁群优化算法。
