Hamiltonian circuit (OHC) in a tourist map. The particle swarm optimization (PSO) integrated with the four vertices and three … in the OHC or approximate OHC conforms to the inequality. The particle swarm optimization is used to search an initial …

(Particle Swarm Optimization) and BFO (Bacterial Foraging Optimization) based methods. The results are analyzed objectively …

performance of the Particle Swarm Optimization (PSO) algorithm to obtain optimal designs for multilayer microwave absorber over …

stochastic optimization technique called particle swarm optimization is proposed to predict the length of stay for coronary …

intelligence swarm algorithm combined the particle swarm optimization algorithm(PSO) with artificial fish swarm algorithm (AFSA …) was proposed. The hybrid algorithm (PSO-AFSA) adopt the particle swarm optimization algorithm to produce diverse original …

technique is used as baseline model for logo recognition. Feature set is optimized using particle swarm optimization (PSO) and …

swarm optimization (PSO) and by General Algorithm (GA). Hybrid ANN Models have the potential to provide forecasts that … demand of the state of Tamil Nadu in India, is forecasted using an artificial neural network (ANN) optimized by particle …

Genetic Algorithms (GA), Ant Colony Optimization (ACO), Particle Swarm Optimization (PSO) and Artificial Bee Colonies …

algorithms. This article discusses Ant Colony Optimization (ACO), the Cuckoo Search, the Firefly Algorithm, Particle Swarm … Optimization and Genetic Algorithms in detail. For ACO a real-time problem, known as Travelling Salesman Problem, is considered …

swarm optimization (PSO). The proposed algorithm can avoid falling into local optimum and being over reliance on prior … performance, this paper presents a novel double - energy fuzzy control algorithm for battery-supercapacitor based on particle …