粒子群优化方法是一种基于群体智能的新型演化计算技术。
Reactive power optimization of power system based on genetic algorithm and particle swarm optimization algorithm;
粒子群优化(PSO)算法是一种基于群体智能的启发式搜索方法，应用领域很广。
Particle swarm optimization (PSO) is a heuristic search method based on swarm intelligence, and has been widely used to solve various problems in engineering fields.
蚁群算法是一种基于群体智能的算法，蚂蚁群体智能有广泛的实际应用，该智能有其本身的优点，但同时也存在群体迷失的问题。
The swarm intelligence of ants has advantages in itself, while it can easily bring about the problems of swarm lost.
PSO算法是一种新型的基于群体智能的随机优化算法，简单易于实现且具有更强的全局优化能力。
PSO algorithm is a novel random optimization method based on swarm intelligence which has more powerful ability of global optimization.
混合蛙跳算法是一种全新的基于群体智能的后启发式计算技术，具有高效的计算性能和优良的全局搜索能力。
The shuffled frog leaping algorithm is a new post based on swarm intelligence heuristic computing technology, a highly efficient computing performance and good global search capability.
蚁群算法是一种模拟群体智能的算法，在解决基于离散空间的问题时表现出良好的性能。
Ant Colony algorithm is a kind of algorithm that simulates swarm intelligence. It has a good performance in solving the problems based on Discrete Space.
蚁群算法是一种模拟群体智能的算法，在解决基于离散空间的问题时表现出良好的性能。
Ant Colony algorithm is a kind of algorithm that simulates swarm intelligence. It has a good performance in solving the problems based on Discrete Space.
应用推荐