Accordingly, using fish swarm optimization algorithm, we proposed an energy-aware routing protocol in WSNs which optimizes power consumption. The proposed protocol was simulated in OPNET 11.5 simulator and compared with ERA protocol. Simulation results indicated that the proposed protocol had better ...
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....
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...
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 ...
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...
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 ...
An artificial fish swarm algorithm based hyperbolic augmented Lagrangian methodAugmented LagrangianHyperbolic penaltyArtificial fish swarmStochastic convergenceThis paper aims to present a hyperbolic augmented Lagrangian (HAL) framework with guaranteed convergence to an -global minimizer of a constrained nonlinear...
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
The problem such as parameters initialization and network structure determination is collectively referred to as the WNN optimization design. Aiming at the effect on the performance of WNN, an optimization design algorithm, which is based on Artificial Fish-Swarm Algorithm(AFSA), is proposed. The AFS...
OptimizationHydroelectric power generationBased on traditional artificial fish swarm algorithm (AFSA), an improved artificial fish swarm algorithm (IAFSA) is proposed and used to solve the problem of optimal operation of cascade reservoirs. To improve the ability of searching the global and the local ...