To overcome the disadvantages of premature convergence and easy trapping into local optimum solutions, this paper proposes an improved particle swarm optimization algorithm (named NDWPSO algorithm) based on mul
On this basis, this paper presents a novel approach to enhance PSO’s performance, applied specifically to feature selection. 3. Particle Swarm Optimization Algorithm Based on Mountain Ecological Pattern Strategy and Its Application in Feature Selection In this section, we present a PSO tailored for...
Particle swarm optimizationAlthough in the last years different metaheuristic methods have been used to solve the cell formation problem in group technology, this paper presents the first particle swarm optimization (PSO) algorithm designed to address this problem. PSO is a population-based evolutionary...
The generation of particle swarm optimization (PSO) comes from the thinking of researchers after observing the team behavior in the process of bird predation8. Once proposed, this algorithm has attracted the attention and research of many scholars. The PSO algorithms has been widely utilized to add...
启发式算法库scikit-opt:包括遗传算法(Genetic Algorithm, GA)、粒子群优化(Particle Swarm Optimization, PSO)、模拟退火算法(Simulated Annealing, SA)、蚁群算法(Ant Colony Algorithm, ACA)、免疫算法(Immune Algorithm, IA)、人工鱼群算法(Artificial Fish Swarm Algorithm, AFSA),旅行商问题(Traveling Salesman Probl...
Artificial Neural Network–Particle Swarm Optimization (ANN–PSO) based botnet discovery is proposed in this paper. In this paper, ISCX dataset is utilized for botnet location. The features are classified as botnet flow and normal flow by giving the features separated from the dataset as a ...
Particle swarm optimization (PSO) is a population-based stochastic optimization algorithm motivated by intelligent collective behavior of some animals such
In this paper, we give a simple proof for the convergence of the deterministic particle swarm optimization algorithm under the weak chaotic assumption and remark that the weak chaotic assumption does not relax the stagnation assumption in essence. Under the spectral radius assumption, we propose a ...
In this paper, Particle Swarm Optimization (PSO) algorithm has been used to optimize objective function. The flowchart of the proposed method with particle swarm optimization algorithm is shown in Fig. 3. PSO is a population-based stochastic method for solving continuous and discrete optimization pro...
In this paper, we propose a novel vector coevolving particle swarm optimization algorithm (VCPSO). In VCPSO, the full dimension of each particle is first randomly partitioned into several sub-dimensions. Then, we randomly assign either one of our newly designed scalar operators or learning operat...