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- 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。
- 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.
- 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。
- 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。
- Global path planning problem for autonomous underwater vehicle(AUV) based on large-scale chart data is investigated by using ant colony optimization(in shorts,ACO) algorithm. 在大范围海洋环境中,应用蚁群算法对自主式水下潜器(AUV)的全局路径规划问题进行了研究。
- Based on analyses for basic Ant Colony Optimization (ACO) and optima problem in continuous space, an ant colony optimization algorithum for continuous problem is constructed and discussed. 摘要通过对基本蚁群算法的分析，构造了一个连续空间的蚁群算法，给出了算法要点，并对其进行了简要分析。
- The system combined the Ant Colony Optimization(ACO) algorithm and the dispatching priority heuristic algorithm to solve the scheduling problems existing in mold parts with work piece restrictions. 该系统利用蚁群算法和优先分配启发式算法相结合的调度算法,解决具有工件约束的模具零件的调度问题。
- Ant colony optimization (ACO) has high optimizing efficiency, but can only be applied to combinational optimization problems. 摘要经典蚁群优化(ACO)算法搜优效率高，但只适用于求解组合优化等离散问题。
- Despite the broad application of GA(Genetic Algorithm) and ACO(Ant Colony Optimization algorithm) in multicast routing problem,they both have the paradox between the time and the optimization result. 遗传算法、蚁群优化算法已在多播路由优化问题中得到了广泛应用,但由于算法本身的缺陷,二者在具体应用时都存在着时间性能与优化性能之间的矛盾。
- It can improve the classical ant colony optimization algorithm(ACO)by combining adaptive dynamic routing algorithm.ACO has worse performance in convergence and is easy to fall into the local maximum. 蚁群算法有收敛性较差、易于过早陷入局部最优等不足,通过构建蚁群、引入信息素约束条件、调整信息素初始值、自适应改变信息素增量等技术,增强了蚁群搜索能力,改善了算法收敛速度。
- Ant Colony Optimization (ACO)is an algorithmic approach, inspired by the foraging behavior of the real ants, which can be applied to many problems. 蚁群优化算法是一种新型的智能仿生类进化算法;已在许多领域获得了广泛的成功应用.
- 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。
- The ant colony optimization (ACO) algorithm is a fast sub-optimal meta-heuristic based on the behavior of a set of ants. 摘要蚁群优化算法是一种快速元启发式优化算法。
- Ant Colony Optimization (ACO) algorithm 蚁群优化算法
- Ant Colony Optimization algorithm (ACO) 蚁群优化算法
- Ant Colony Optimization algorithm(ACO) 蚁群算法
- Ant Colony Optimization(ACO) algorithm 蚁群优化算法
