Firstly, an improved artificial fish swarm optimization algorithm (IAFSA) is proposed to optimize the parameters in SVM. In the improved version of artificial fish swarm optimization algorithm, the visual distance and the step size of artificial fish are adjusted adaptively. In the early stage of ...
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Artificial fish swarm algorithm (AFSA) is one of the swarm intelligence optimization algorithms that works based on population and stochastic search. In order to achieve acceptable result, there are many parameters needs to be adjusted in AFSA. Among these parameters, visual and step are very signi...
An algorithm that integrates the improved artificial fish swarm algorithm with continuous segmented Bézier curves is proposed, aiming at the path planning and smoothing of mobile robots. On the one hand, to overcome the low accuracy problems, more infle
It used the operators such as prey, swarm, follow and random behavior. The algorithm parameters, such as population, step size, sense of distance, the largest try-number, crowded degree coefficient and the largest number of iterations, has a great impact on the performance of the convergence....
1.So the paper put forwardartificial fish swarm algorithm(AFSA) for Optimization of complex system reliability.针对这一问题,提出了基于群体智能-人工鱼群算法(Artificial Fish School Algorithm,AFSA)的优化方法。 3)artificial fish swarm algorithm人工鱼群算法 ...
Particle swarm optimization algorithm [9], ant clone optimization algorithm [10], and firefly algorithm [11] are among the meta-heuristic algorithms. These algorithms are modeled on the behavior of birds, arthropods, and insects and are successful examples of meta-heuristic algorithms. In recent ...
Quantum behaved particle swarm algorithm is a new intelligent optimization algorithm; the algorithm has less parameters and is easily implemented. In view of the existing quantum behaved particle swarm optimization algorithm for the premature convergence problem, put forward a quantum particle swarm optimiz...
A novel algorithm named artificial fish swarm algorithm (AFSA) is discussed to solve the problem of routing optimization in computer communication networks... X Shan,M Jiang,J Li - IEEE 被引量: 104发表: 2006年 Hybrid Algorithm Based on Particle Swarm Optimization and Artificial Fish Swarm Algori...
基于鱼群优化算法的无线传感器网络部署 Wireless sensor network deployment based on fish-swarm optimization algorithm