Analysis of the particle swarm algorithm in the optimization of a three-phase slurry catalytic reactor. Comput Chem Eng. 2011;35(12): 2741-2749.Analysis of the particle swarm algorithm in the optimization of a three-phase slurry catalytic reactor[J] . Adriano Pinto Mariano,Caliane Bastos Borba...
The particle swarm optimisation algorithm is proposed as a new method to design a model based predictive controller subject to restrictions. Its performance is compared with the one obtained by using a genetic algorithm for the environmental temperature control of a greenh...
This limits the diversity of the population swarm, preventing the reduction in exploitation ability. The comparison experiments have been made between the proposed approach with the dissipative PSO and other cooperative particle swarm algorithm. The experimental results show that the proposed method not ...
Stability, andConvergence in a Multidimensional Complex SpaceMaurice Clerc and James KennedyAbstract—The particle swarm is an algorithm for finding op-timal regions of complex search spaces through the interaction ofindividualsinapopulationofparticles.Eventhoughthealgorithm,which is based...
The next step in our method is the use of PSO algorithm and the selection of "global best" particles, which will be used for the calculations of expected profit. The more detailed explanation of PSO algorithm is presented in the next section. 3 Application of Particle Swarm Optimization ...
Fig.1Basedonglobaloptimalpositionmutationparticleswarm algorithmflowchart 变异的方法,它通过对当前全局最优位置添加变异以 避免算法陷入“早熟”。此外,全局最优位置变异粒子群 算法变异的条件是当全局最优位置连续A次都没有得 到变化的前提条件下,对当前最优位置使用一次变异 操作,从而使得最优位置能够具有变化的可能...
Implementation of the Particle Swarm Optimization (PSO) algorithm to find the shortest path between two given points, avoiding all obstacles. - annafabris/PSO-shortest-path
To solve these problems, in this paper, we propose an EE optimization based on the particle swarm optimization (PSO) algorithm. First, we consider the base station (BS) antennas and terminal users and analyze their impact on EE in the uplink and downlink of a single-cell multiuser massive ...
the predicted value and the real value of the ARMA model, the fitness function of the particle swarm optimization algorithm is constructed, while the optimal solution which satisfies the ARMA model is confirmed by adjusting the inertia weight, population size, particle velocity, and iteration number...
To find the best prototypes capable of maximizing the number of correct classification of transients (A) and minimize the number of prototypes or partitions (NPC), a Particle Swarm Optimization algorithm was used. The prototypes obtained during the training phase are used later in the operation ...